FDA Radiology AI Devices

Viz HCM is a machine learning-based software designed to analyze 12-lead ECG recordings to detect signs of hypertrophic cardiomyopathy (HCM). It helps clinicians identify patients who may have HCM and need further clinical follow-up, supporting early detection though not replacing full diagnostic evaluation. The system includes an ECG analysis algorithm and a mobile app to present results, improving screening in routine cardiology care.

Spine Planning 2.0 is a software tool that helps surgeons plan spinal surgeries using medical images like CT, MR, and X-rays. It uses AI to automatically label vertebrae and suggest spinal implants such as screws and rods, improving accuracy and efficiency during preoperative and intraoperative planning.

Brainomix 360 Triage ICH is a software tool that uses artificial intelligence to analyze non-contrast brain CT images in acute settings to detect suspected intracranial hemorrhages. It notifies specialists promptly to prioritize patient care and improve workflow efficiency by providing timely alerts via mobile and web applications. It supports clinicians by assisting triage but does not replace diagnostic evaluation.

The Rapid Aneurysm Triage and Notification device by iSchemaView Inc. is an AI-powered software designed to analyze CT angiography images of the head to detect suspected saccular aneurysms. It helps hospital networks and radiologists by prioritizing cases with potential aneurysms for faster review, improving workflow in routine patient care. The software provides notifications and compressed preview images for informational use, supporting radiologists in triage but not intended for diagnosis.

The Global Hypoperfusion Index (GHI) Algorithm is a software tool used on compatible advanced monitoring platforms to predict the risk of a global hypoperfusion event in surgical or non-surgical patients. It analyzes physiological data to provide clinicians with early warning of potential hemodynamic instability, helping to anticipate and manage patient deterioration in critical care settings.

The uMI Panorama is a PET/CT system that provides combined metabolic and anatomical imaging to assist healthcare professionals in detecting, diagnosing, staging, and managing various diseases including oncology, cardiology, and neurology conditions. It supports both PET and standalone CT imaging and can be used for low dose CT lung cancer screening, enhancing patient care with fused functional and anatomical images.

ANDI is a software tool that processes diffusion-weighted MRI brain scans to create 3D maps of white matter tracts. It helps neurologists and radiologists by providing detailed visualization and measurements of brain white matter structures, serving as an adjunct tool for patient assessment without making diagnoses.

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.

Sonio Detect is a software tool that uses machine learning to help healthcare professionals during fetal ultrasound exams by automatically detecting views, anatomical structures, and verifying the quality of images in real-time. This supports sonographers and fetal specialists to ensure comprehensive and high-quality ultrasound examinations for fetuses from 11 to 37 weeks gestational age.

UltraSight AI Guidance is a mobile AI-based application that helps non-expert medical professionals acquire high-quality cardiac ultrasound images by providing real-time guidance on how to position and manipulate the ultrasound probe for standard transthoracic echocardiography views. It enhances image acquisition quality and enables better diagnosis even by novice users.