FDA Radiology AI Devices

The syngo.via MI Workflows, including Scenium and syngo MBF, is a multi-modality software platform developed to assist healthcare professionals in viewing, manipulating, quantifying, and analyzing medical images from various imaging modalities, including PET, SPECT, CT, and MR. It supports disease management in oncology, cardiology, neurology, and organ function, and aids physicians in radiotherapy treatment planning by harmonizing PET data and providing standardized analysis tools such as brain amyloid quantification.

MI View&GO by Siemens Medical Solutions USA, Inc. is medical diagnostic software designed to assist healthcare professionals in viewing and analyzing medical images from multiple modalities including PET, SPECT, CT, and MR. It supports disease management in oncology, cardiology, neurology, and organ function, and aids in radiotherapy treatment planning by providing users with tools for image manipulation, quantification, and comparison at or near the scanner console, enhancing workflow efficiency and diagnostic accuracy.

HeartKey Rhythm is a software platform designed to analyze ECG data from various ambulatory monitoring devices such as Holters and ECG patches. Using a combination of machine learning and signal processing, the software detects heartbeats, assesses rhythm, and identifies arrhythmias to assist healthcare professionals in diagnosing cardiac conditions. It integrates through an API into other ECG management or monitoring systems and supports non-urgent clinical decision making.

CADDIE is a cloud-based AI software that helps gastroenterologists detect suspected colorectal polyps during colonoscopy procedures by analyzing live video from endoscopy. It highlights potential lesions with visual markers to aid clinical decision-making, improving polyp detection without replacing the physician's judgment.

The Huxley SANSA Home Sleep Apnea Test is a wearable device that records various physiological signals such as oxygen saturation, heart rate, chest movement, snoring, and sleep stages. It uses AI/ML algorithms in a cloud-based platform to analyze these signals and assist healthcare professionals in evaluating sleep-related breathing disorders like sleep apnea, both in clinical and home settings.

The SKOUT system is a medical software device that uses artificial intelligence to assist gastroenterologists in real-time detection of potential colorectal polyps during colonoscopy procedures. It provides visual markers on the endoscopic video feed to highlight suspected polyps, helping doctors identify these abnormalities more effectively during colorectal cancer screening or surveillance.

Tyto Insights for Crackles Detection is an AI-powered software that analyzes lung sound recordings made by a compatible stethoscope to detect abnormal lung sounds called crackles. It supports clinicians by providing automated detection to help evaluate lung health in both adults and children aged two years and older. The device aids healthcare providers in clinical decision-making by highlighting recordings suggestive of crackles, which may indicate underlying lung conditions.

Tempus ECG-AF is an AI-powered software that analyzes standard 12-lead ECG recordings from patients aged 65 and older to detect signs indicating an increased risk of atrial fibrillation or atrial flutter within the next 12 months. It assists clinicians by providing risk notifications based on ECG data, improving early identification of patients who may require further diagnostic follow-up.

Corvair is an AI-powered software that analyzes resting ECG recordings to detect various heart rhythms, morphological abnormalities, and measure ECG intervals. It supports healthcare professionals by providing an initial automated interpretation of ECGs to assist in cardiac diagnosis, enhancing accuracy and efficiency in clinical settings.

The uPMR 790 by Shanghai United Imaging Healthcare Co., Ltd. is a combined PET and MRI system that simultaneously captures high-resolution metabolic and anatomical images of the body to assist clinicians in diagnosis. It includes advanced AI-based image reconstruction and processing techniques, like DeepRecon for denoising and ACS for accelerated image reconstruction, improving image quality and scan efficiency without radiation exposure from MRI. This helps healthcare providers better assess physiological and anatomical conditions in patients.