FDA Radiology AI Devices

Fetal EchoScan (v1.1) is an AI-driven software device that assists physicians in interpreting second-trimester fetal heart ultrasound videos. It detects suspicious morphological features indicative of congenital heart defects, helping clinicians identify potential heart abnormalities in unborn babies during routine ultrasound exams. The software acts as a concurrent reading aid, providing annotative outputs to improve diagnostic accuracy and support clinical decision-making for fetal cardiac assessment.

Fetal EchoScan is an AI-powered software tool that assists physicians in analyzing fetal heart ultrasound videos during the second trimester. It helps identify suspicious anatomical findings that may indicate fetal congenital heart defects, enhancing diagnostic accuracy and aiding clinical decision-making without replacing standard care.

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.

AISAP Cardio V1.0 is an AI-powered software that analyzes cardiac point-of-care ultrasound images to detect and assess valvular pathologies like regurgitations and stenosis, and measures key cardiac functions such as ejection fraction and chamber sizes. It supports physicians by generating diagnostic reports that aid in interpreting ultrasound images, improving accuracy and efficiency in evaluating heart conditions in adult patients.

EchoGo Pro is an AI-powered software tool designed to assist physicians in diagnosing coronary artery disease by analyzing stress echocardiography ultrasound images. It processes images acquired during stress echo exams, automatically segments the left ventricle, and uses machine learning to provide a categorical assessment of the likelihood of significant CAD, helping clinicians make more accurate and consistent diagnoses.