FDA Radiology AI Devices

The iCAC Device is a software tool that analyzes routine chest CT scans to automatically detect and quantify coronary artery calcium, which helps physicians assess cardiovascular risk. It provides outputs such as calcium segmentation visualizations and quantitative calcium scores during standard clinical workflows, assisting physicians without replacing original reports or scans.

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.

The Butterfly iQ/iQ+ Ultrasound System is a portable, handheld ultrasound device that helps healthcare professionals visualize and measure anatomical structures and fluids in both adult and pediatric patients. It supports multiple clinical applications including lung, cardiac, abdominal, and musculoskeletal imaging. The system integrates AI-powered software called Auto B-line Counter that automatically detects and counts B-lines in lung ultrasound images, aiding clinicians in diagnosing and monitoring lung conditions.

DTX Studio Clinic 3.0 is an AI-powered software tool designed to assist dentists in detecting dental conditions such as caries, bone loss, periapical radiolucency, root canal filling deficiencies, discrepancy at the margin of restorations, and calculus from intraoral radiographs. It supports review of bitewing and periapical radiographs in patients aged 15 and older, providing highlighted areas of suspicion to aid clinical assessment and diagnosis.

RadioLens v1.0 by Synapsica is a medical image management and processing system that allows radiologists and medical practitioners to view, analyze, and report on DICOM-format radiology images. The software includes an AI module called SpindleX for automated analysis and measurement of spinal ligament injuries in digital stress X-rays of the cervical and lumbar spine. This helps clinicians by providing quantitative measurements and detailed reports, enhancing diagnostic accuracy and efficiency in spinal injury assessment.

Overjet Caries Assist is an AI-powered software that helps dentists detect and segment dental caries (tooth decay) on bitewing and periapical X-ray images. It provides computer-generated annotations highlighting potential caries to support dentists' diagnosis, improving sensitivity in caries detection. It operates by processing dental radiographs using machine learning models and presenting annotated images in a viewer interface for the dentist. This assists dentists but does not replace professional judgment.

BoneView 1.1-US is an AI-powered software designed to assist clinicians by analyzing X-ray radiographs to identify and highlight fractures. It works as a concurrent reading aid, helping improve the accuracy and speed of fracture diagnosis across multiple anatomical regions including limbs, pelvis, ribs, and spine for both adults and pediatric patients. The software integrates seamlessly with imaging systems like PACS and can be deployed on-premise or in the cloud, enhancing radiologists' ability to detect subtle and definite fractures.

The Xeleris V Processing and Review System by GE Healthcare is a software platform designed for processing, reviewing, and analyzing nuclear medicine and PET imaging data. It supports various clinical applications including brain, lung, cardiac, liver, and bone imaging analyses, aiding physicians in diagnosis and treatment planning by providing enhanced image visualization, quantification, and monitoring of patient radiation doses.

AVIEW Lung Nodule CAD is an AI-powered software designed to help radiologists detect lung nodules on chest CT scans. It automatically identifies nodules between 3 to 20 mm in diameter, providing an additional review layer to ensure suspicious nodules are not overlooked. This tool integrates with medical imaging systems and has been clinically tested to improve detection accuracy and reduce the time radiologists spend reviewing CT scans, ultimately aiding early diagnosis of lung conditions.

The ZEUS System by iRhythm Technologies is a software platform designed to analyze ECG data from wearable cardiac monitors to detect arrhythmias and other heart rhythm abnormalities. It uses AI algorithms to automatically process and identify cardiac events, assisting clinicians in diagnosing and managing heart conditions by generating detailed reports from long-term ECG recordings.