Imorgon
Imorgon provides specialized ultrasound reporting software and advanced reading tools designed to optimize the productivity and accuracy of radiology reports. With automated measurement integration, this software streamlines the reporting process, helping radiologists save valuable time while reducing the likelihood of errors. By enhancing the consistency of measurements and data transfer, it ensures more reliable reports. Imorgon also offers an intuitive, web-based interface for customizable templates, which simplifies report generation and improves overall efficiency. Moreover, its seamless integration with PACS systems allows for smoother workflows, significantly reducing operational bottlenecks in ultrasound departments.
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TeleRay
TeleRay is an industry-first telehealth and image management platform. TeleRay cloud-based medical image management platform allows users to securely share images with professionals (specialists, referring, clinicians) and patients. The platform has many features, including the ability to import or convert DICOM or non DICOM images, query and HL7 connectivity. Integrate with any EMR, view images on an FDA approved viewer anywhere on any device.
Complete DICOM image migration is available- set up, training, and implementation is included. Live streaming and remote control of modalities are options and great for many use cases to place professionals virtually in a room any where.
TeleRay is the most secure platform with peer 2 peer health and data communication. You can use the app to access workflow tools like waiting rooms, multi-calls, call transfer and sharing of images. It's simple and affordable.
More than 3000 locations use our service, including 38 of the top medical centers in more than 20 nations. Get started today for free.
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Oncoustics
Oncoustics is pioneering the development and application of innovative, patented AI technologies aimed at providing low-cost, non-invasive surveillance, diagnostics, and treatment monitoring for diseases that currently face significant clinical challenges. The company has developed a range of specialized applications focused on various diseases and anatomical structures that are compatible with any point-of-care ultrasound device, allowing physicians, nurses, and technicians to operate them as essential tools in a primary care setting without requiring image analysis. By leveraging AI, Oncoustics transforms affordable point-of-care ultrasound machines into robust diagnostic instruments capable of facilitating quick and economical identification and monitoring of conditions affecting the liver, prostate, kidney, breast, and thyroid. The multidisciplinary team behind Oncoustics consists of professionals with expertise in AI, signal processing, radiology, hepatology, digital health, and ultrasound, ensuring a comprehensive approach to healthcare innovation. The emphasis on cost-effective point-of-care diagnostics and surveillance significantly enhances patient outcomes through timely detection and consistent monitoring, which are crucial for effective disease management and better overall health. As such, Oncoustics is not only addressing immediate healthcare needs but is also setting the stage for a transformation in how we approach disease management in the future.
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RedBrick AI
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.
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