FDA Radiology AI Devices

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.

Videa Perio Assist is an AI-powered software that helps dentists and dental hygienists measure and visualize bone levels between teeth using bitewing and periapical dental X-rays. It provides precise measurements that support evaluations related to periodontal health but is not meant to replace full clinical diagnosis.

Rapid RV/LV is a medical imaging software designed to assist clinicians by automatically measuring the sizes of the right and left heart ventricles from CT pulmonary angiography scans. It provides annotated images and quantitative measurements to help assess right-heart strain, supporting clinical decision-making in cardiopulmonary conditions. The software uses machine learning to locate the ventricles and report their size ratio.

BriefCase is an AI-powered software by Aidoc Medical that automatically analyzes chest CT scans to identify cases with three or more acute rib fractures. It sends notifications with preview images to help radiologists prioritize these critical cases for faster review, enhancing clinical workflow and patient care without altering original images or providing primary diagnoses.

Overjet Calculus Assist is a software tool that helps dentists detect calculus deposits on dental X-rays by automatically highlighting suspicious areas. It supports dentists in diagnosis by providing visual cues on bitewing and periapical radiographs, improving sensitivity to calculus without replacing clinical judgment.

Syngo Dynamics (Version VA40F) is a software medical device from Siemens designed to assist healthcare professionals in reviewing and analyzing medical images for disease detection and patient management. It supports multiple imaging modalities including ultrasound, x-ray angiography, CT, MR, nuclear medicine, and others, with applications primarily focused on cardiology, vascular, and fetal imaging. The software offers advanced image processing tools and semi-automated measurement capabilities such as left ventricular ejection fraction estimation, helping clinicians interpret complex imaging data efficiently within healthcare networks.

Viz LVO is an AI-based software tool designed for hospital networks and clinicians to detect and notify specialists about suspected large vessel occlusions in brain CT angiograms. It facilitates rapid communication and prioritization of cases to improve stroke patient management, providing image previews via a mobile app for informational use to assist timely specialist review.

Spine CAMP™ is a fully-automated software that analyzes X-ray images of the spine to measure and assess spinal parameters, such as alignment, stability, and motion. It helps healthcare professionals by providing quantitative metrics and visualizations, improving clinical decision-making regarding spinal health and treatments.