FDA Radiology AI Devices

VisAble.IO is a software tool that helps doctors plan and confirm liver ablation procedures using CT images. It provides features like segmentation of liver structures, virtual placement of ablation needles, and analysis of ablation zones to support clinicians during treatment. It is designed to improve the accuracy and efficiency of liver ablation therapy planning and evaluation in clinical settings.

ME-APDS (Magentiq Eye’s Automatic Polyp Detection System) is an AI-powered software system that assists endoscopists during colonoscopy by automatically detecting and highlighting polyps and other mucosal abnormalities in real-time video images captured by standard white-light endoscopy. It runs on video output from standard colonoscopy equipment to enhance lesion detection, improving the accuracy and efficiency of colorectal screening and surveillance. It helps clinicians by providing visual prompts of suspected polyps, enabling timely clinical actions while functioning as an adjunct tool.

HepaFatSmart (V2.0.0) is an automated AI-assisted software that analyzes magnetic resonance imaging (MRI) datasets to measure liver fat quantitatively. It calculates volumetric liver fat fraction (VLFF), proton density fat fraction (PDFF), and steatosis grading without user input, supporting clinical diagnosis and management of fatty liver disease and screening of liver transplant donors. This software helps clinicians by providing consistent, reproducible liver fat measurements from MRI scans, aiding patient care in liver-related conditions.

The GI Genius System 100 and 200 are AI-powered computer-assisted detection tools used during colonoscopy to help doctors identify colonic lesions such as polyps and adenomas in real time. It integrates with standard white-light endoscopy video systems and highlights suspicious areas to support clinicians without replacing clinical judgment.

Velacur is a portable ultrasound device that measures the stiffness and attenuation of liver tissue by generating and analyzing shear waves using ultrasound imaging. It incorporates AI-based algorithms to assist clinicians in assessing liver disease by providing detailed tissue characterization, enhancing accuracy and ease of use at the point of care in clinics and hospitals.

The SKOUT system is an AI-powered software tool that helps gastroenterologists detect potential colorectal polyps in real time during colonoscopy procedures. By providing visual markers on the colonoscopy video feed, it aids trained specialists in identifying polyps that might be missed, supporting better colorectal cancer screening and surveillance.

Viz AAA is an AI-powered software device designed to analyze CT angiogram images of the abdomen to detect suspected abdominal aortic aneurysms. It helps specialists prioritize patient studies by flagging those with potential aneurysms, improving workflow efficiency in clinical settings. The software provides non-diagnostic preview images and emphasizes that diagnostic decisions remain with treating specialists.

BriefCase by Aidoc Medical, Ltd. is an AI-powered software that assists radiologists by automatically analyzing chest and abdominal CT scans to detect and flag suspected vertebral compression fractures. It helps prioritize medical images for review, enabling faster triage without altering original images or workflows, thus improving the efficiency of radiological diagnosis and patient care.

LiverMultiScan v5 is software that helps clinicians assess liver health by analyzing MRI scans to generate detailed images and quantitative maps of liver tissue properties such as fat content, iron concentration, and T1 relaxation times. It aids doctors in diagnosis by providing automated liver segmentation and measurements that enhance non-invasive liver assessment.

The SKOUT Software is an artificial intelligence (AI) based computer-aided detection tool designed to assist gastroenterologists during colonoscopies by identifying potential colorectal polyps in real time. It processes high-definition endoscopic video and highlights suspected polyps with visual markers on the video feed, helping clinicians detect polyps more effectively and support colorectal cancer screening and surveillance.