FDA Radiology AI Devices

BriefCase-Quantification is an AI-based software that analyzes contrast-enhanced CT scans to measure aortic diameters at key anatomical landmarks, helping clinicians assess normal and aneurysmal aortas. It processes CT images in a cloud environment, produces measurement results for review, and is intended to assist but not replace radiologist evaluations.

EchoSolv AS is a cloud-based AI and machine learning decision support software designed to help cardiologists assess severe aortic stenosis (AS) from transthoracic echocardiogram data and patient demographics. It provides a categorical probability of severe AS to assist in diagnosis alongside clinical guidelines, improving identification accuracy and supporting patient management decisions during echocardiogram interpretation.

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.

EFAI CARDIOSUITE CTA ACUTE AORTIC SYNDROME ASSESSMENT SYSTEM is an AI-powered software that automatically analyzes CT angiography scans of the chest region to detect signs of acute aortic syndrome, including aortic dissection and intramural hematoma. It helps radiologists prioritize and triage cases by flagging suspicious studies, enabling faster diagnosis and improved workflow efficiency, although it is not a substitute for clinical decision-making.

DASI Dimensions (V1.0) is a clinical decision support software that processes multiphase CTA chest images to generate automated measurements of cardiovascular structures. It helps cardiologists and radiologists by providing detailed images and numerical data to support planning for aortic valve replacement procedures, improving accuracy and efficiency of pre-operative assessments.

BriefCase-Quantification is an AI-powered radiological image management and processing software that analyzes contrast-enhanced CT images to measure the maximum axial diameter of the abdominal aorta. It assists trained medical specialists by providing preliminary measurements to help evaluate normal and aneurysmal abdominal aortas. The tool outputs annotated preview images, which serve as unofficial measurements to aid clinical review, with final decisions left to radiologists.

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.

BriefCase is an artificial intelligence software that automatically analyzes CT chest with contrast scans to detect suspected cases of aortic dissection. It helps hospital networks and medical specialists by flagging possible cases to prioritize workflow and speed up patient triage. It provides notifications with preview images for informational use, aiding clinicians in prompt attention to urgent cases without replacing standard diagnostic procedures.

Aorta-CAD is an AI-powered software tool designed to assist physicians in analyzing chest X-rays. It detects and highlights areas that may show aortic calcification or dilation, which can indicate chronic aortic conditions. This helps radiologists by drawing attention to suspicious regions, improving diagnostic accuracy without replacing physician judgment.

The Study Watch with Irregular Pulse Monitor by Verily Life Sciences is a wearable device designed for adults diagnosed with or at risk for atrial fibrillation (AF). It continuously monitors heart rhythms using photoplethysmography (PPG) and single-channel ECG measurements. The device notifies users of irregular pulses, prompting ECG collection, and securely transmits data for healthcare provider review. This aids early detection and monitoring of AF, enabling timely clinical intervention.