BriefCase by Aidoc Medical, Ltd. is an AI-powered software that analyzes contrast-enhanced chest CT scans to help hospital specialists prioritize and triage cases showing possible incidental Pulmonary Embolism. It provides notifications with compressed preview images for early attention but does not replace standard diagnostic review, working alongside existing workflows to speed up urgent case identification.
HealthOST is an AI-powered image processing software that analyzes CT scans of the spine to help clinicians detect and assess musculoskeletal diseases in patients aged 50 and older. It labels vertebrae, measures vertebral height loss, and calculates bone density using Hounsfield Units, providing quantitative data to aid diagnosis and treatment planning without replacing clinical judgment.
RayStation 11B is a radiation therapy treatment planning software that helps clinicians create, analyze, and manage radiation treatment plans for cancer patients. The software integrates imaging data, including CT and CBCT, to compute radiation doses accurately and supports the administration of treatments, improving clinical workflow and patient care.
INTContour is a software tool that uses machine learning to automatically identify and outline organs and treatment targets on medical images to aid radiation therapy planning. This helps clinicians by providing initial segmentations that can be reviewed and edited, saving time and improving efficiency in treatment preparation for cancer patients.
ClariPulmo is a software tool designed to analyze lung CT images. It helps doctors by automatically segmenting the lungs and quantifying areas of low and high attenuation in the lung tissue. It includes AI-based features like deep learning segmentation, denoising, and kernel normalization to improve image quality and quantification, especially for low-dose CT scans. This software supports clinical assessment of lung abnormalities by providing color-coded images and quantitative reports.
DEEPVESSEL FFR is a clinical software tool that uses deep learning to analyze previously acquired coronary CT angiography (CTA) images. It generates three-dimensional models of coronary artery trees and estimates fractional flow reserve (FFR) values to help clinicians assess the functional severity of coronary artery disease. It supports doctors by providing additional insight beyond anatomical imaging, using AI-based physiological simulation to improve diagnosis and treatment planning for heart vessel conditions.
BriefCase is an AI-powered software that analyzes head CT Angio (CTA) images to assist clinicians by flagging suspected Brain Aneurysm cases above 5 mm, helping prioritize urgent cases and improving workflow efficiency. It provides notifications and preview images but is not intended for primary diagnosis, supporting clinicians to review images faster and potentially reduce time to treatment.
Customize is a software tool designed to assist physicians in planning shoulder arthroplasties by visualizing, modifying, and validating 3D models generated from CT scans. It helps communicate treatment options, segments CT data, and manages cases and timelines, aiding clinicians in surgical preparation and decision-making.
CardIQ Suite by GE Medical Systems is a non-invasive software tool designed to analyze 2D and 3D cardiac CT images, helping clinicians visualize and measure cardiovascular anatomy, including vessels and chamber mobility. It uses advanced AI algorithms for automatic calcium scoring and labeling of calcified plaques, aiding in diagnosis and treatment planning of cardiovascular diseases like coronary artery disease. The software also facilitates tracking calcium progression and supports clinicians with integrated workflows for reviewing coronary CT angiography data effectively.
Viz ANEURYSM is an AI-powered software that analyzes CT angiogram images of the head to detect suspected aneurysms of at least 4mm. It helps radiologists prioritize patient studies by flagging and highlighting cases with suspected aneurysms in a standalone application. This assists in faster triage and review, improving workflow efficiency while ensuring diagnostic decisions remain with the radiologist.
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