FDA Radiology AI Devices

Alignment System Cranial by Brainlab AG is a surgical navigation system designed to assist surgeons during cranial stereotactic procedures such as biopsies of intracranial lesions and placement of stereo-electroencephalography electrodes. It integrates optical tracking with advanced software and hardware to precisely guide surgical instruments, improving accuracy and safety. The system includes artificial intelligence features that aid in patient registration processes by detecting anatomical landmarks, enhancing surgical planning and execution.

The CorVista System is a non-invasive medical device combining hardware and software to analyze physiological signals from patients with cardiovascular symptoms. Using machine learning, it provides healthcare providers with a likelihood of significant coronary artery disease to aid diagnosis, integrating clinical judgment and patient history. This helps clinicians identify patients who may need further evaluation or treatment.

The CARTO™ 3 EP Navigation System Software V8.0 is a catheter-based cardiac mapping system that helps clinicians map the electrical activity and anatomy of the heart in 3D during electrophysiological procedures. Using specialized catheters and advanced mapping technologies including machine learning algorithms, it improves visualization and identification of complex heart signals to guide interventions and improve procedural outcomes.

The FaceHeart Vitals Software Development Kit (FH vitals SDK) is an AI-based software that measures pulse rate from facial video streams using standard cameras on mobile devices or computers. It provides non-invasive, real-time pulse rate monitoring for adults at rest, intended to assist healthcare professionals but not to replace critical care or continuous monitoring. The SDK uses face recognition and signal processing algorithms to produce accurate pulse rate measurements, helping clinicians monitor patient heart rate remotely or in general healthcare settings.

The Withings Scan Monitor 2.0 is a smart scale device that records a two-channel electrocardiogram (ECG) when a user stands on it and holds a handle. It analyzes the ECG data using AI algorithms to detect normal rhythms and atrial fibrillation, and displays results on the device and a mobile app, helping patients and clinicians monitor heart conditions conveniently at home or clinical settings.

The Dreem 3S is a wearable headband device that uses EEG electrodes and a 3D accelerometer to record brain electrical activity and movement during sleep. It applies an artificial neural network to automatically analyze and classify sleep stages, providing clinicians with detailed reports of patients' sleep patterns to aid in sleep assessment at home or in healthcare settings.

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.

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.

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.