Improve radiology reporting efficiency and report quality with Imorgon's reporting automation.
As the top DICOM SR software for radiology, our solution significantly reduces unnecessary dictation by precisely transferring ultrasound and DEXA modality measurements into Powerscribe, Fluency, or RadAI. This eliminates manual errors and significantly accelerates the generation of reports.
Imorgon's unique advantages include:
- guaranteed transfer of all measurements - usually DICOM SR
- electronic worksheets for direct report population (eliminating dictation from notes)
- worksheets with priors, calculators, and clinical decision support (TI-RADS, O-RADS, etc)
- integration with Epic and other EHRs.
- vendor-neutral
Our dedicated support team ensures uninterrupted workflow.
Invest in Imorgon for a quick and substantial return on investment, transforming your reporting overhead into a streamlined, high-quality operation.
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MobiPDF (formerly PDF Extra) is an intuitive reader and editor that allows you to read, edit, create, OCR, organize, annotate, fill and sign, convert, and share any PDF. This makes MobiPDF an excellent choice for users seeking a budget-friendly alternative to Adobe Acrobat Pro.
HERE’S WHAT YOU GET WITH MOBIPDF:
Multiple Page View Modes: Enjoy a distraction-free "Read Mode".
Advanced Editing Tools: Experience a Word-like PDF editing environment.
Two-Way Conversions: Convert PDFs to and from Word, Excel, PowerPoint, or image formats.
OCR Support: Make scanned documents searchable.
Markup Tools: Highlight, comment, strikethrough, stamp, and more to enhance your documents.
Effortless PDF Organizer: Reorder, compress, split, and combine PDFs with ease.
Sign & Secure: Add signatures, create and fill forms, and protect your PDFs with passwords, encryption, and digital certificates.
Offline Mode: Work freely on your projects, even offline.
Seamless translation: One-click translate any PDF into 50+ languages.
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VolView
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.
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qCT
Qure.ai's qLC-Suite is a cutting-edge AI-driven tool aimed at improving the early identification and management of lung nodules, which is crucial for prompt lung cancer intervention. This solution delivers accurate measurements, thorough characterization, and 3D imaging of lung nodules, ensuring that opportunities for early treatment are not overlooked. It is capable of supporting both incidental and targeted screenings by efficiently identifying nodules and calculating their volume with just one click. Moreover, the system monitors volumetric changes over time, providing valuable insights into nodule development. The qLC-Suite is designed to integrate smoothly into current workflows, offering quick analysis and reporting that assist healthcare professionals in their decision-making processes. In addition to its analytical capabilities, it serves as a comprehensive platform for managing lung nodules, facilitating care coordination through intelligent prompts, providing hardware-agnostic image viewing for AI-enhanced chest X-rays and CT scans, enabling seamless sharing of scans across departments, and allowing for tailored notifications for cases of concern. Overall, qLC-Suite represents a significant advancement in lung cancer care, promoting timely interventions that can ultimately save lives.
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