Alternatives to qCT

Riverain Technologies has developed ClearRead Xray, a suite of five applications that have received FDA clearance, aimed at improving the speed and precision of interpreting chest X-rays within healthcare settings, all without the need for extra equipment, procedures, or exposure to radiation. This innovative platform utilizes specialized suppression technology to create a clear view of the chest, which significantly aids in the swift and precise identification of cardiothoracic conditions. Among its standout features are the generation of bone-suppressed images that enhance visualization, the ability to spot potential lung cancer nodules, a decrease in the time required to read portable X-rays, automatic comparisons with previous examinations to emphasize changes, and compatibility across various imaging devices and protocols throughout the enterprise. Additionally, the ClearRead Xray Bone Suppress feature notably enhances soft tissue visibility by minimizing the presence of bone structures in digital images, thereby assisting radiologists in uncovering nodules that may have previously gone unnoticed. This comprehensive approach not only boosts diagnostic capabilities but also streamlines workflow in busy medical environments.

Founded in 2016, Infervision stands at the forefront of AI-driven medical technology, dedicated to enhancing multidisciplinary healthcare services and operations through innovative artificial intelligence solutions. Their advanced AI offerings are designed to assist healthcare professionals across a spectrum of tasks, including disease screening, diagnosis, intervention, treatment, patient management, and medical research. Among their array of solutions, InferRead CT Lung specializes in detecting lung nodules from chest CT scans, while InferRead DR Chest focuses on identifying chest abnormalities via X-ray imaging. Moreover, InferRead CT Coronary is tailored for recognizing coronary artery stenosis during coronary CT angiography, and InferRead CT Stroke is adept at triaging hemorrhages from brain CT scans. The company also provides InferRead CT Bone for spotting chest fractures in CT images and InferRead CT Pneumonia for diagnosing and managing pneumonia cases. Beyond these, their offerings extend to InferOperate, which facilitates 3D reconstruction for thoracic, liver, and urological surgical procedures, and InferCare, a tool designed for effective patient management and image follow-up. Additionally, InferScholar acts as an AI-enhanced resource for medical research, further solidifying Infervision's commitment to transforming healthcare through AI technology. This comprehensive suite of solutions positions Infervision as a pivotal player in the evolution of medical practices.

Caas MR 4D Flow is expertly crafted to efficiently extract pertinent data from 3D phase-contrast MR images with minimal effort. Utilizing these advanced images, it provides two innovative 4D Flow modules that facilitate comprehensive flow analysis, which is instrumental in the assessment and interpretation of cardiovascular MR images, as well as in strategizing the timing and nature of interventions. One of these modules focuses on evaluating blood vessels, ranging from major arteries like the aorta to smaller vessels such as those found in the kidneys, while the other specializes in assessing heart valves concerning regurgitation fraction. Among the significant outputs are the visualization of aortic blood flow presented as streamlines, pathlines, and color-coded vectors; detailed mapping of wall shear stress alongside localized wall shear stress values; measurement of pressure differences across specific segments; and the visualization and quantification of regurgitant fractions for all four heart valves, in addition to conducting 2D flow phase-contrast analyses. This comprehensive approach not only enhances understanding but also significantly aids clinicians in making informed decisions regarding patient care.

Us2.ai is revolutionizing the battle against heart disease by utilizing AI-driven ultrasound software that ensures heart health can be accessible to everyone. This innovative platform provides 45 automated echo parameters, such as strain analysis, and enables real-time interpretation of 2D and Doppler images. It seamlessly integrates with any ultrasound machine, producing zero-click, comprehensive reports that maintain high accuracy and can be easily compared with expert evaluations. The AI echo copilot from Us2.ai autonomously analyzes all heart chambers through both 2D and Doppler perspectives, incorporating global reference guidelines into detailed, real-time reports. Recently, the software obtained FDA clearance for Us2.v2, which also boasts 45 automated echo parameters, including strain analysis, representing a remarkable advancement in healthcare technology. Ultimately, Us2.ai aims to democratize echocardiography, ensuring that ultrasound technology is available to individuals regardless of their location or circumstances, thereby promoting better heart health for all. This commitment to accessibility and innovation positions Us2.ai at the forefront of the medical technology landscape.

Fovia's XStream HDVR SDK Suite delivers an extensive array of tools for sophisticated visualization, allowing for effortless integration across multiple platforms, such as enterprise networks, independent workstations, and cloud-enabled mobile applications. Within this suite, users will find features like F.A.S.T. Interactive Segmentation, which supports dynamic 3D segmentation, F.A.S.T. RapidPrint for efficient volume-to-print processes, and F.A.S.T. Cloud SDK designed for advanced visualization in the cloud. These innovative tools empower the creation of tailored workflows and high-performance imaging applications that enhance user experience. Furthermore, Fovia offers a user-friendly API coupled with custom integration support, ensuring that a wide range of needs in the advanced visualization sector are effectively addressed. This commitment to versatility and user satisfaction solidifies Fovia's position as a leader in the visualization technology market.

INFINITY ANALYZE 7 is a user-friendly software solution tailored for camera management, capturing images, and processing them in life science, clinical, and industrial research settings. It accommodates both brightfield and fluorescence imaging modes, guaranteeing results that are reproducible, precise, and of high quality. The software boasts a variety of functions, including image processing, fluorescence acquisition, calibration settings, customizable presets, annotations, and extensive camera controls. Users are able to engage in activities such as focus stacking, image stitching, and executing numerous post-processing techniques on the acquired images. The fluorescence functionality supports both multi-channel and single-channel image acquisition, simplifying the creation of composite images from sequences. Enhanced workflow efficiency is achieved through user-defined button labels and hotkeys, which provide rapid access to presets during microscope objective switches. Additionally, users can incorporate annotations such as lines, arrows, and shapes to emphasize specific areas of interest within their images, further enriching the visual data presentation. This versatility makes INFINITY ANALYZE 7 an invaluable tool for researchers aiming for detailed and organized imaging capabilities.

Altris AI is an advanced, cloud-based clinical decision support system powered by artificial intelligence, specifically tailored to aid eye care professionals in interpreting OCT scans and making informed decisions. The platform streamlines the identification of pathological OCT scans while recognizing over 70 retina-related pathologies and biomarkers, which include some that are quite uncommon. Features of the system encompass severity detection, analysis of retina layer thickness, layer segmentation, and both automatic and manual measurement capabilities. It is designed to work seamlessly with all OCT devices and accommodates various data formats like DICOM, JPEG, and PNG. Furthermore, Altris AI has received FDA clearance, CE certification, and is compliant with GDPR and HIPAA regulations, thereby upholding rigorous standards for data security and patient confidentiality. By integrating this innovative tool into their practices, eye care professionals can significantly enhance patient triage, improve diagnostic precision, and more effectively track the progression of diseases over time. As a result, the adoption of Altris AI not only streamlines workflows but also elevates the overall quality of patient care in eye health.

Materialise Mimics is an all-encompassing software solution aimed at transforming medical imaging data into precise 3D models, serving a variety of purposes such as custom device development and detailed anatomical studies. This platform includes a diverse array of tools that streamline the planning, designing, and 3D printing processes for models and surgical guides tailored to different levels of complexity, enabling immediate use in clinical settings. Central to the platform is Mimics Core, a sophisticated software designed for 3D medical image segmentation that efficiently transitions from image capture to the creation of 3D models. This functionality aids in virtual procedure planning and is essential to the overall effectiveness of the platform. Additionally, the Mimics Innovation Suite expands the platform's capabilities by offering advanced resources for engineers and researchers. By simplifying the engagement with 3D medical imaging data, it becomes a valuable asset for improving patient outcomes through innovative technological applications. Ultimately, this software provides a crucial bridge between advanced imaging techniques and practical medical solutions.

HeartFlow offers a groundbreaking, non-invasive cardiac test that delivers detailed visualizations of individual coronary arteries, allowing doctors to develop more tailored treatment strategies for their patients. The process begins when a patient has a standard coronary computed tomography scan performed at a medical facility. Following this scan, the CT images are securely sent to our cloud-based system. Utilizing cutting-edge algorithms powered by artificial intelligence, we create a customized digital representation of the patient's coronary arteries. Our skilled analysts then review this model, making necessary adjustments to ensure accuracy. After finalizing the patient-specific model, the HeartFlow pathway employs physiological principles and computational fluid dynamics to analyze blood flow and compute FFRCT values throughout the model. We adhere to strict and well-established protocols throughout this entire process, ensuring uniform processing for every individual patient, which ultimately enhances the quality of care provided. This innovative approach not only improves diagnostic precision but also empowers healthcare providers to make informed decisions for optimal patient outcomes.

The Butterfly iQ+ is engineered to simplify the ultrasound experience. By connecting it to either our iOS or Android application, users can effortlessly select from 22 presets within seconds with just a finger swipe, enabling immediate scanning capabilities. This device is driven by our cutting-edge Ultrasound-on-Chip™, which expands the boundaries of ultrasound technology. With patented on-chip digital micro-beamforming, it achieves frame rates that are 15% faster and pulse repetition frequencies that are 60% quicker. Furthermore, its 1.75D array beamforming significantly reduces elevation beamwidth by 85%. Featuring an innovative low-noise, low-power semiconductor process paired with optimized electronics and a power-efficient FPGA, the device is designed for efficiency. Simply plug it into your mobile device, start scanning right away, and enhance your capabilities with Butterfly Education. Experience the precision you need with vivid color representation that accurately illustrates hemodynamic flow. The iQ+ is the world's only device utilizing Ultrasound-on-Chip™ technology, enabling users to effectively identify A lines, B lines, and pleural irregularities, resulting in quicker and clearer diagnostic insights. This remarkable tool not only enhances scanning efficiency but also elevates the overall quality of patient care.

Brainlab's Elements Cranial Stereotactic Radiosurgery (SRS) represents a cutting-edge software tool aimed at simplifying the intricate planning involved in cranial surgeries, including procedures for arteriovenous malformations, pituitary adenomas, and vestibular schwannomas. This workflow incorporates automation throughout each phase, encompassing image fusion, distortion correction, object outlining, and segmentation, which collectively ensure remarkable accuracy and reliability at a submillimeter level. A standout feature is the patented 4Pi arc setup optimization, which, when paired with a volumetric modulated arc therapy algorithm tailored for radiosurgery, results in superior plan quality by delivering precisely targeted doses while sparing vital surrounding structures. The software further provides distinctive 3D visualizations and reliable dosimetric outputs, significantly improving the precision and efficiency of treatment planning. Moreover, Elements SmartBrush facilitates swift and straightforward 3D target outlining, enabling users to define volumes efficiently using only two slices, thus enhancing overall workflow productivity. This innovative approach not only streamlines the planning process but also enhances the accuracy of treatment delivery in complex cases.

RedBrick AI serves as a rapidly collaborative platform for annotating medical data, specifically designed to assist healthcare AI teams in creating high-quality training datasets across various types of radiological imagery, including CT, MRI, X-ray, Ultrasound, Fluoroscopy, and additional standard imaging techniques. The platform is adept at managing intricate tasks such as multi-series annotation and extensive DICOM studies, thanks to its native compatibility with medical data formats including DICOM and NIfTI. Furthermore, it boasts cutting-edge, user-friendly 2D and 3D web-based annotation tools, complemented by a PACS-like viewer. RedBrick AI supports a wide array of annotation use cases, including instance and semantic segmentation, landmark identification, classification, and ROI measurements, thereby enhancing the speed of annotation processes by as much as 60%. This significant improvement in efficiency can empower healthcare professionals to focus more on patient care rather than on time-consuming data preparation tasks.

VolView is an open-source tool designed for radiological professionals, enabling them to visualize DICOM data in three dimensions through interactive cinematic volume rendering. This application runs directly in web browsers, allowing secure data handling as files remain on the user's device without requiring installation. Supporting a convenient drag-and-drop interface for DICOM files, VolView excels in delivering high-quality and interactive 3D renderings. Users can explore various color presets, modify lighting and transparency settings, crop images, and engage with 3D data for enhanced understanding. The platform features both standard 2D and 3D controls, measurement tools, and annotation capabilities, with continual updates made in response to user suggestions. As it operates locally, VolView harnesses the processing power of the user's CPU, GPU, and disk space, avoiding reliance on external servers or cloud services. Additionally, being open-source, it remains freely available to healthcare professionals, promoting wide accessibility and collaboration in the clinical community. This empowers clinicians to utilize advanced visualization techniques in their diagnostic processes.

Brainlab's Elements Multiple Brain Metastases SRS represents a cutting-edge software solution aimed at optimizing the planning and execution of treatment for patients suffering from multiple brain metastases. This innovative workflow allows healthcare providers to target several metastases at once without subjecting the entire brain to radiation, thus significantly shortening the duration of treatment delivery. The procedure starts with pre-planning steps that are supported by automation, which includes tasks like image fusion, distortion correction, object outlining, and segmentation; all of which enhance both the speed and precision of the planning process. The software utilizes inverse-optimized dynamic conformal arc techniques, focusing on a single isocenter to achieve highly conformal dose distributions with sharp gradients, ensuring accurate target coverage while protecting surrounding healthy tissue. This method facilitates the rapid generation of consistent, high-quality radiosurgery plans within minutes, ultimately benefiting clinicians and patients alike by reducing treatment durations and enhancing overall outcomes. Moreover, the efficiency and effectiveness of this software can lead to improved patient satisfaction and a more streamlined clinical workflow.

Axial3D is committed to enhancing personalized healthcare by revolutionizing the industry with its innovative 3D medical imaging and tailored patient solutions, thereby making individualized surgical care both routine and scalable. Their proprietary AI-driven platform, which operates in the cloud, enables medical device manufacturers, imaging specialists, and healthcare facilities to utilize rich data for creating precise 3D models that facilitate better surgical planning, lead to improved patient outcomes, and streamline workflows. Among the offerings are 3D visualizations, mesh files, print-ready files, and actual 3D printed models, all crafted to seamlessly fit into current medical practices. By transforming intricate DICOM images into accurate, actionable 3D representations, the company significantly enhances efficiency, speed, and scalability in the development of patient-specific devices. The cloud-based platform uniquely equips surgeons with a detailed perspective of their patient’s anatomy before surgery, thereby improving the accuracy and precision of surgical planning far beyond what traditional 2D imaging can provide. This advancement not only benefits individual patients but also paves the way for broader applications in the medical field.

Implement comprehensive clinical decision support across your entire organization. Enhance your PACS and EMR systems to streamline imaging processes and boost patient care quality. We recognize that you manage diverse types of images from various sources, and your patients deserve optimal care. While sometimes a single solution may suffice, achieving an enterprise-wide AI-powered imaging analysis is possible with a contemporary technology framework and an intuitive user interface tailored for all physicians. Whether it's for radiology assessments, procedural planning, or consultations at the point of care, users can utilize a complete range of clinical resources through a robust advanced UI or a straightforward web-based interface. TeraRecon is capable of handling multiple imaging modalities and can support up to 40 concurrent users engaged in sophisticated image processing from one virtual server, whereas competitors typically struggle to accommodate many modalities or users without requiring additional servers. This scalability and flexibility position TeraRecon as a leader in the field of imaging solutions.

Zebra's Imaging Analytics Engine processes imaging scans from multiple modalities and conducts automatic analyses of various clinical findings, ensuring efficiency and seamless integration with the radiology workflow. Healthcare providers rely on Zebra-Med to notify them about patients who are at elevated risk for cardiovascular, pulmonary, skeletal, and other health issues. This system enhances preventative care initiatives, supports accurate risk adjustments, and aids in meeting quality benchmarks like MACRA. By utilizing Zebra-Med, healthcare professionals can concentrate their efforts on the most vulnerable patients at critical moments, ultimately leading to reduced expenses and enhanced patient care outcomes. Consequently, this innovative approach not only improves the quality of care provided but also optimizes resource allocation across the healthcare system.

Realize Medical's Elucis is an FDA-approved extended reality platform that simplifies the segmentation of images, promotes collaboration among remote teams, and allows for procedural planning in a virtual reality space. Elucis is capable of handling an unlimited number of 3D and 4D CT and MR images, ensuring thorough project integration. It boasts cutting-edge image processing features, including both manual and automatic registration, as well as the display of images in 2D, 3D, and 4D formats. The platform’s segmentation tools are engineered for efficiency and user-friendliness, enabling precise measurement, cutting, and planning tasks directly in a virtual environment. Additionally, Elucis includes advanced 4D modeling capabilities that permit intricate segmentation of cardiac structures in mere minutes, regardless of the phase. Users have the flexibility to import 3D structure files from external sources and can easily export their work with a single click. Furthermore, the platform enhances teamwork by allowing multiple users to connect seamlessly with local or remote colleagues throughout the entire workflow, making it a versatile tool for medical professionals. This feature not only streamlines communication but also ensures that all stakeholders can contribute effectively to the project.

The Medical Imaging Suite from Google Cloud is crafted to revolutionize the way organizations handle imaging diagnostics by ensuring that imaging data is not only accessible but also interoperable and beneficial. This suite provides a secure, compliant, and fully managed service to oversee healthcare data in various formats such as FHIR, HL7v2, and DICOM, alongside unstructured text in natural language. Utilizing a cloud infrastructure simplifies the process of storing and sharing extensive collections of medical images that are prevalent in the healthcare sector, making it both efficient and economical. The Cloud Healthcare API facilitates operations to read DICOM instances, studies, and series in alignment with the DICOMweb standard. Furthermore, the suite enhances research capabilities and improves the overall patient experience in healthcare by providing comprehensive solutions for data storage and analysis, among other functionalities. Additionally, it offers guidance on concepts and best practices for the integration of third-party medical imaging viewers with the Cloud Healthcare API, ensuring a seamless experience for users. This holistic approach not only streamlines workflow but also fosters innovation in the medical imaging landscape.

Innovative AI solutions that smoothly integrate with your PACS and radiology processes empower radiologists to streamline their workflows and enhance patient care. As the demand for medical imaging continues to rise, radiologists are often overwhelmed by the sheer volume of data, which can lead to increased reporting errors, elevated workloads, and disorganized processes. By automating repetitive tasks and standard measurements, AI technology assists radiologists in producing high-quality, evidence-based reports. This enhancement not only aids referring doctors and physicians in making well-informed decisions but also fosters a more intuitive workflow, ultimately benefiting patient care. Furthermore, these systems excel at identifying, characterizing, and classifying critical elements with pinpoint accuracy while maintaining the highest image quality and ensuring rapid loading times. Additionally, the inclusion of intelligent suggestions during report template searches, along with the ability to use pre-filled or customizable report templates, greatly improves standardized clinical communication and efficiency in the reporting process. By adopting such advanced tools, radiologists can focus more on patient interactions and less on administrative burdens.

AI plays a crucial role in identifying early-stage cancers, facilitating prompt interventions that enhance survival prospects. Cancer's intricate nature means that each type carries distinct characteristics, packed with extensive data that requires thorough analysis. This is where AI excels, leveraging its capabilities to process complex information, ultimately revealing insights that can significantly aid in cancer treatment strategies. Equipped with precise and relevant data, we take proactive steps in our battle against cancer. By utilizing AI, we are poised to make substantial strides in overcoming this disease. Our AI technology is designed to detect early-stage cancer with remarkable accuracy, achieving detection rates between 97-99%. It proficiently identifies ten of the most prevalent abnormalities found in chest x-rays, thus enhancing one of the most fundamental diagnostic tools. This innovation not only streamlines the radiology workflow but also alleviates the workload for radiologists. Lunit INSIGHT CXR successfully encompasses a wide range of findings, ensuring that we are prepared to tackle the challenges presented by cancer detection and treatment. The future of cancer care looks promising with AI at the forefront of these advancements.

Aidoc creates cutting-edge decision support software powered by AI specifically designed for the healthcare sector. This innovative technology processes medical imaging to deliver one of the most thorough solutions for identifying acute abnormalities throughout the body, enabling radiologists to prioritize critical cases and accelerate patient treatment. By equipping radiologists with tools to swiftly detect urgent medical conditions, it effectively minimizes the overall time taken to generate reports, seamlessly integrating into their workflow. The 510(k) triage and notification software is tailored for evaluating non-enhanced head CT images, alerting users to suspected positive findings such as Intracranial Hemorrhage (ICH). Additionally, the software is suitable for analyzing Head CTA images, where it identifies and communicates the presence of Brain Aneurysms (BA), as well as for Chest X-Ray images, where it flags the occurrence of Pneumothorax (Ptx). This multifaceted approach not only enhances diagnostic accuracy but also significantly improves patient outcomes by ensuring timely interventions.

Version 8.0 of PDQuest 2-D analysis software provides a robust and adaptable platform for conducting 2-D gel electrophoresis analysis. Users can opt for PDQuest Basic for straightforward 2-D gel evaluations or PDQuest Advanced to access the most cutting-edge features designed for in-depth expression proteomics research. Regardless of the version selected, the advanced analytical tools effectively highlight subtle variations across different 2-D gels. The software employs powerful auto-matching algorithms that ensure quick and precise gel matching with minimal manual effort. Furthermore, PDQuest's versatile annotation capabilities make it an invaluable asset for creating a centralized database, enabling a wide array of characterization data to be associated with each spot on a master gel image. Sharing and reviewing information related to identified proteins is made simple and efficient. Additionally, the software offers adaptable spot cutting configurations that enhance accuracy, throughput, and flexibility in protein identification trials, making it an essential tool for researchers in the field.

Vitrea software serves as a versatile and vendor-neutral advanced visualization platform that delivers a wide range of applications across various IT settings, whether in single-site or multi-site configurations. With Vitrea Advanced Visualization, organizations can achieve standardization and streamline their radiology IT landscape effectively. The use of Global Illumination, a sophisticated 3D rendering method, enhances the photorealism of anatomical images. This allows users to capture and disseminate these visualizations for educational and communication purposes. Moreover, advanced imaging features, including in-suite 3D visualization and semi-automated measurement tools, empower healthcare providers to access patient data conveniently from any location. Furthermore, radiologists have the capability to share imaging results seamlessly throughout their entire organization. This interconnected approach not only improves collaboration but also enhances the overall quality of patient care.

Our innovative AI solutions are crafted to enhance the capabilities of healthcare professionals at critical stages of the medical process. Whether it's during preventive screenings, early diagnosis, emergency interventions, managing institutional disease outbreaks, or ensuring treatment compliance, we facilitate a smooth optimization of workflows throughout the entire care spectrum. By partnering with esteemed healthcare authorities and leveraging vast amounts of data to inform our algorithms, we ensure that our AI meets the highest global regulatory requirements. Supported by extensive research in data science, our offerings are designed to predict healthcare needs, especially in challenging situations. Our AI solutions are primed for immediate use, adaptable to various settings and situations as necessary. They seamlessly integrate with your existing technology framework and can be customized to work with your preferred devices. We provide straightforward deployment and scaling options while guaranteeing top-tier data security that complies with industry standards. Additionally, our dedicated team is committed to guiding you through every phase of your AI implementation journey, ensuring you feel confident and supported. With our solutions, you can transform your healthcare delivery and improve patient outcomes significantly.

Cardiovascular diseases result in more than 20 million fatalities globally each year, many of which could be avoided through timely detection. Unfortunately, the healthcare sector is often stretched thin, hindered by the limitations of human analysis capabilities. This is where AIATELLA makes a significant impact. Our innovative AI-driven image analysis technology revolutionizes cardiovascular diagnostics. By automating the intricate measurements of blood vessels and leveraging historical data, we substantially reduce the time, expenses, and required expertise, thereby enhancing the potential for vital imaging procedures. AIATELLA's approach not only accelerates the diagnostic process but also boosts the precision and reliability of results, providing critical measurements and disease progression insights in mere seconds rather than hours. As a result of this increased efficiency and accuracy in analyses, healthcare providers can dedicate more time to patient care, ultimately paving the way for effective preventative strategies and personalized treatment options for everyone. This shift could redefine how we approach cardiovascular health on a global scale.

Our innovative AI solution empowers healthcare practitioners to conduct high-quality ultrasound examinations anytime and anywhere, irrespective of their experience level with ultrasound technology. While ultrasound serves as a reliable and effective diagnostic instrument, mastering its use can be challenging, requiring extensive specialized training and often resulting in variable image quality. The examination process demands precise hand-eye coordination and can be visually unintuitive, complicating the learning curve. Moreover, conventional ultrasound software fails to provide guidance on how to maneuver the ultrasound transducer effectively or offer immediate feedback regarding the clarity of the images obtained. This can lead to subpar imaging, which in turn results in overlooked diagnoses, unnecessary repeat exams, and inconsistent interpretations of the results. Consequently, the full potential and advantages of ultrasound technology have not been completely harnessed. With the advent of our AI-driven technology, any healthcare provider can now effortlessly capture high-quality diagnostic ultrasound images, as the AI assists them throughout each phase of the scanning procedure, ensuring accuracy and efficiency. This advancement not only enhances the diagnostic capabilities of healthcare providers but also promotes better patient outcomes through timely and accurate assessments.

See-Mode Technologies is a MedTech firm focused on utilizing AI to enhance ultrasound reporting, thereby boosting both diagnostic accuracy and operational efficiency. Their innovative platform swiftly analyzes ultrasound images of the thyroid and breast, resulting in rapid and precise radiology reports. By identifying, measuring, and characterizing nodules, See-Mode produces a comprehensive TI-RADS sonographer worksheet along with initial impressions for radiologists. In the realm of breast imaging, the software not only detects lesions but also automates the BI-RADS reporting process, offering detailed insights into lesion characteristics and levels of suspicion. This advanced technology minimizes inter-operator variability and reduces the likelihood of reporting errors, ultimately strengthening diagnostic confidence and ensuring consistency. By streamlining the reporting process, See-Mode facilitates more informed clinical decisions, which can lead to better patient outcomes.

Effortlessly identify the suitable landing zone for the treatment of abdominal aneurysms (EVAR), thoracic aneurysms (TEVAR), or the insertion of fenestrated stents (FEVAR). All necessary metrics, including diameter, clock position, volume, and length, can be accurately acquired through automatically detected centerlines or 3D double oblique imaging. Furthermore, integrated manufacturer stent order sheets can create PDF files, simplifying the process of ordering specific stents via email. Our ongoing mission is to enhance the quality and efficiency of cardiovascular image analysis, which in turn optimizes patient treatment outcomes. We strive to align our product offerings with the most recent advancements in the cardiovascular sector. By doing so, we ensure that our customers receive the best software solutions at the most opportune moments. Recognizing the significance of proper training and support, we are committed to making sure all users are proficient and comfortable with their analysis. To meet diverse needs, we provide customizable training options that adapt to individual requirements, fostering a supportive learning environment for all users.

3D-DOCTOR is a sophisticated software solution designed for 3D modeling, image processing, and measurement across various imaging modalities, including MRI, CT, PET, and microscopy, as well as scientific and industrial applications. It accommodates both grayscale and color images in multiple formats such as DICOM, TIFF, Interfile, GIF, JPEG, PNG, BMP, PGM, MRC, RAW, and more. This powerful software generates 3D surface models and performs volume rendering from 2D cross-sectional images in real-time on your computer. Users can export polygonal mesh models in various formats, including STL, DXF, IGES, 3DS, OBJ, VRML, PLY, and XYZ, making it suitable for applications like surgical planning, simulation, quantitative analysis, finite element analysis, and rapid prototyping. In addition, it allows for 3D volume calculations and other measurements crucial for quantitative insights. The vector-based tools enhance the ease of handling image data, facilitating measurement and analysis efficiently. Moreover, 3D CT and MRI images can be re-sliced along any chosen axis, and it is capable of registering multi-modality images to produce comprehensive image fusions, ensuring a versatile approach to imaging challenges.

Brainlab's Elements Spine Stereotactic Radiosurgery (SRS) represents a cutting-edge software solution aimed at refining the management of spinal metastases. This innovative workflow features automation at each phase, encompassing anatomical mapping, curvature adjustments, and target identification, which guarantees precision and uniformity down to submillimetric levels. A distinctive algorithm addresses variations in spinal curvature, thereby improving the accuracy of image fusion. The software employs automatic segmentation of spinal anatomy through a patented synthetic tissue model that effectively identifies and labels different spine levels for accurate dose calculations. Tools for outlining spinal tumors are included for Gross Tumor Volume (GTV) contouring, along with automatic suggestions for the Clinical Target Volume (CTV) and a cropped spinal canal object in alignment with International Spine Consortium Guidelines. Furthermore, the integration of AI-driven contouring solutions allows for the swift and dependable delineation of over 200 structures, including lymph nodes. This advancement not only streamlines the treatment process but also enhances overall patient outcomes in spinal cancer management.

The FDA-cleared D2P® software, in combination with 3D Systems printers, empowers surgeons, radiologists, lab technicians, and device designers to efficiently generate high-quality diagnostic digital 3D models and tangible 3D prints. By importing DICOM images into the D2P standalone modular software, all necessary steps for 3D model segmentation and preparation are streamlined into a single workstation. Designed as a medical device, D2P facilitates pre-operative surgical planning and the creation of 3D-printed anatomical models for diagnostic use. Its distinctive image segmentation toolkit, paired with sophisticated virtual reality (VR) visualization, significantly reduces the time and effort required for clinicians and point-of-care (POC) personnel to produce customized anatomical models for their patients. Furthermore, the digital models generated by D2P can be utilized across various platforms, including 3D printers, VR systems, surgical planning applications, and CAD software, enhancing the overall flexibility and effectiveness of medical practices. This innovative approach not only improves surgical preparation but also fosters collaboration among healthcare professionals by providing them with precise and accessible anatomical representations.

Adaptable and customizable, this system caters to a wide range of healthcare setups, from individual physician offices to extensive hospital networks and global clinical research organizations. Rest assured that your information remains secure, eliminating the complications associated with hardware and IT oversight. It surpasses both HIPAA and PIPEDA regulations for safeguarding privacy and securing data. With a user-friendly design, the Studycast platform offers a seamless workflow that spans from the examination process to archiving. When you incorporate the optional integration features, the system completes the cycle from ordering to delivering results. Effortlessly upload studies, as images, measurements, and patient information are automatically transferred from the imaging modality into the Studycast platform. The zero-footprint viewer operates efficiently, allowing you to access diagnostic-grade images and video loops from any location with internet connectivity, including on mobile devices. This capability ensures that healthcare professionals can maintain productivity and provide timely patient care, no matter where they are.

CryptoChart™ offers a secure and efficient method for delivering patient medical images and records through a straightforward yet highly secure CryptoChart code. This code allows patients to access their images at any time and from any location, making it simple to share via text message or email. If you require help with CryptoChart, it’s best to contact the facility where you initially received your information. Empower your marketing team to enhance both patient and physician experiences, providing them with a distinct competitive edge. Alleviate the demands on IT by utilizing a robust 25-character encryption strength, along with a random web access code. The viewer is compatible with all mobile devices and desktops, ensuring convenience. Offer your patients a fast and effortless way to manage and share their personal health information, enhancing their overall experience and satisfaction.

Slice:Drop is an interactive online platform designed for viewing medical imaging data in three dimensions, enabling users to swiftly examine scientific and medical imagery. It seamlessly accommodates various scientific file formats, including volumetric data, models, and fibers right from the start. Users can effortlessly drag and drop their medical imaging files onto the site, eliminating the need for any file conversions, allowing for immediate rendering. The platform utilizes WebGL and HTML5 canvas technology to visualize data in both 2D and 3D while employing its proprietary open-source toolkit known as XTK. Importantly, all data processing occurs on the client side, which means no information is transmitted over the internet, thereby safeguarding privacy and security. Furthermore, Slice:Drop provides a range of functionalities, such as adjusting 3D opacity, configuring window/level settings, implementing thresholding, and controlling label map opacity for volumetric data; as well as managing show/hide options, opacity settings, and scalars for mesh data; and applying show/hide features and fiber length thresholds for fiber visuals. This makes it an invaluable resource for professionals in the medical field who require efficient and secure access to imaging data.

Our innovative mobile visualization platform, recognized with awards, allows healthcare professionals to work together and make diagnoses while accessing and sharing 2D/3D medical images seamlessly across various devices. With secure data access from any location, there's no need to transfer or duplicate original files. This platform is selected and relied upon by some of the largest and most cutting-edge healthcare institutions globally. Designed by clinicians for their peers, the ResolutionMD enterprise viewer enhances patient care and optimizes workflows through features that comply with HIPAA regulations, alongside robust mobile functionality. With FDA Class II certification and other international accreditations, you can confidently make diagnoses using both mobile and web applications, ensuring high-quality care for patients everywhere. This innovative approach not only improves efficiency but also fosters a collaborative environment among healthcare providers.

OsiriX is a highly esteemed medical imaging software designed for viewing DICOM (Digital Imaging and Communications in Medicine) files, catering especially to healthcare professionals who require efficient management and analysis of medical images. This versatile platform boasts capabilities for 2D, 3D, and 4D visualization, complemented by sophisticated post-processing tools that enhance diagnostic precision. Its advanced features, including volume rendering and detailed image manipulation, make it a preferred choice among radiologists, clinicians, and researchers worldwide. Available in two versions, OsiriX provides a free (Lite) option alongside a paid (MD) version that includes enhanced functionalities and necessary certifications for clinical application, such as FDA and CE approvals. Additionally, the software's user-friendly interface and robust performance contribute to its widespread adoption in the medical community.

Fujifilm's Synapse 3D represents a cutting-edge visualization solution that has been crafted in conjunction with a variety of medical professionals, including radiologists, cardiologists, and surgeons, providing more than 50 applications designed to improve both the accuracy and efficiency of diagnoses. This platform features advanced server-side technology that accommodates both cloud and on-premise hosting, enabling sophisticated image analyses that aid in interpretation, reporting, and treatment planning while promoting effective clinical collaboration throughout the organization. It addresses specialty fields such as cardiology, pulmonology, oncology, urology, neurology, and gastroenterology, showcasing its versatility. The architecture of Synapse 3D is scalable, allowing for unlimited expansion, and its reliable workflows boost overall productivity while catering to extensive visualization requirements through specialized applications. The platform also includes native cardiology features that enhance cardiac care, and its AI-driven detection capabilities significantly enhance the accuracy and efficiency of interpretations. Additionally, Synapse 3D offers seamless integration with Fujifilm's Synapse Enterprise PACS, making it an invaluable resource for healthcare providers seeking to optimize patient outcomes. With these comprehensive features, it stands to revolutionize the way medical imaging is approached in clinical settings.

CADU, a cloud-enabled AI solution created by Odin Vision, is designed to aid in identifying and characterizing dysplasia in individuals with Barrett’s oesophagus during gastroscopy. The system evaluates areas that visually resemble Barrett’s oesophagus and offers insights to help clinicians determine whether the tissue is dysplastic or non-dysplastic. By improving the decision-making process for endoscopists and expediting the examination of the oesophagus, CADU proves to be both time-efficient and cost-effective. Additionally, it functions on a platform that is vendor-neutral, facilitating its use with various endoscopic equipment. The system is CE marked and holds UKCA approval; however, it is not available for commercial sale in the United States. CADU has been adopted in clinical environments, including University College London Hospitals, aiming to enhance the detection of early oesophageal cancer, which can often be difficult to identify due to the subtle nature of initial lesions. Its implementation represents a significant advancement in the early diagnosis of this serious condition, highlighting the importance of technology in modern medicine.

MiNNOVAA is a company specializing in medical information technology, particularly in the realms of medical imaging software and the exchange of medical images. With the guiding principle of "medical imaging innovation," we stand out for our nimbleness and the state-of-the-art technology we utilize in crafting our solutions. Our main areas of concentration are the development of medical image viewers, enhancement of radiology workflows, and the incorporation of artificial intelligence in diagnostic reporting. Our energetic team comprises around 20 skilled programmers and product managers, alongside professionals in marketing, sales, technical support, call center operations, and administration, all dedicated to driving a meaningful transformation in the field of medical imaging and enhancing individual healthcare experiences. We offer a comprehensive clinical imaging IT solution tailored for mid-sized hospitals and imaging clinics, featuring a wide array of functionalities such as on-premise core PACS software, a DICOM web viewer, multi-platform imaging workstation software, seamless integration with EHR/EMR/HIS systems, and an efficient workflow engine/RIS. Ultimately, our commitment to innovation and comprehensive solutions aims to redefine how medical imaging is approached and utilized within healthcare settings.

Harness the capabilities of Simpleware software to effortlessly handle 3D and 4D imaging data sourced from MRI, CT, and micro-CT scans. Explore your data through sophisticated visualization techniques, thorough analysis, and precise quantification methods. Develop accurate models that are primed for design, simulation, and 3D printing processes. The latest Simpleware W-2024.12 update enhances the software's integration of AI-driven segmentation tools and optimized design functionalities, significantly speeding up your 3D image processing and analytical workflows. Our cutting-edge platform for 3D image processing and model creation enables the transformation of 3D and 4D image data into products and workflows that integrate effortlessly with design and simulation applications. With a user-friendly interface, you can quickly access all necessary tools and features. Conduct extensive analyses of even the most intricate 3D image datasets, ensuring the generation of top-tier design and simulation-ready models that meet your exacting standards. This advancement allows users to leverage the latest technology for better results in their projects.

Fovia Ai's F.A.S.T. aiCockpit serves as an AI viewer that enhances navigation, visualization, and interaction with AI-generated results from various vendors and algorithms through a unified user experience that minimizes the number of clicks needed. This platform facilitates the visualization and interaction of all algorithm outcomes within a single, user-friendly interface, significantly improving the workflow for radiologists and clinical professionals. By providing physician-validated insights to AI orchestrators, PACS, and reporting systems, it adheres to the most up-to-date interoperability standards. The system is compatible with multiple AI formats, such as DICOM Structured Reports, DICOM Key Images, DICOM GSPS, and DICOM segmentation objects. Furthermore, F.A.S.T. aiCockpit boasts a cloud-ready architecture, enabling access to AI-assisted radiology results from anywhere at any time via any web-enabled browser. With just one straightforward integration, users can seamlessly complete their AI capabilities without the need to switch between various viewers, thus streamlining their overall workflow even further. This innovative approach not only enhances efficiency but also empowers healthcare professionals to make more informed decisions quickly.

MedGemma is an innovative suite of Gemma 3 variants specifically designed to excel in the analysis of medical texts and images. This resource empowers developers to expedite the creation of AI applications focused on healthcare. Currently, MedGemma offers two distinct variants: a multimodal version with 4 billion parameters and a text-only version featuring 27 billion parameters. The 4B version employs a SigLIP image encoder, which has been meticulously pre-trained on a wealth of anonymized medical data, such as chest X-rays, dermatological images, ophthalmological images, and histopathological slides. Complementing this, its language model component is trained on a wide array of medical datasets, including radiological images and various pathology visuals. MedGemma 4B can be accessed in both pre-trained versions, denoted by the suffix -pt, and instruction-tuned versions, marked by the suffix -it. For most applications, the instruction-tuned variant serves as the optimal foundation to build upon, making it particularly valuable for developers. Overall, MedGemma represents a significant advancement in the integration of AI within the medical field.

Medis Suite XA serves as our comprehensive solution for X-Ray angiography, built upon over three decades of expertise in cardiovascular image analysis. This all-inclusive package features an array of modules, including a user-friendly viewer and various analyses dedicated to coronary and vascular assessments, enabling detailed anatomical evaluations of arteries. It also encompasses analyses for both left and right ventricles along with integrated reporting capabilities. Among its offerings are advanced analyses for coronary and peripheral vessels (QCA and QVA) as well as left and right ventriculograms (QLV and QRV). A standout feature is the innovative QFR® analysis, which evaluates the functional significance of lesions without requiring adenosine or a pressure wire. Moreover, the suite allows for seamless integration within the healthcare IT infrastructure, ensuring effortless connectivity with the DICOM network, thus enhancing workflow efficiency and patient care. Ultimately, Medis Suite XA represents a significant advancement in the field of cardiovascular imaging.

Developed by healthcare professionals for their peers, this technology aims to significantly enhance the quality of life for patients. Our AI-driven platform emphasizes speed, scalability, and security while offering the flexibility and customization that each hospital requires. It serves as a dependable long-term resolution. With RapidAI's stroke portfolio, you can expedite triage and transfer decisions with greater precision. Additionally, it facilitates the swift identification, monitoring, and proactive management of aneurysms. RapidAI's comprehensive suite of products for pulmonary embolism care enables quick detection of suspected PE cases. The AI-enhanced clinical decision support (CDS) software accelerates the decision-making process for physicians; however, it is crucial to recognize that not all AI solutions are equal. Only those CDS tools that possess clinical expertise can accurately identify, locate, characterize, and quantify suspected conditions. This advanced level of precision in AI-powered CDS modules contributes to improved triage and transfer decisions, ultimately leading to enhanced diagnostic accuracy and more efficient vascular care. By integrating these cutting-edge tools, healthcare providers can significantly elevate patient outcomes and operational efficiency.