FDA Radiology AI Devices

VinDr-Mammo is a software tool designed to assist radiologists in prioritizing mammogram exams by flagging those that may contain suspicious findings. It analyzes 2D digital mammograms using artificial intelligence to identify potentially concerning cases and alerts radiologists, enabling more efficient workflow and faster patient care. It does not replace the physician's final diagnosis.

CogNet QmTRIAGE is an AI-powered software tool designed to analyze 2D digital mammograms to prioritize patients with suspicious breast findings. It flags exams suggestive of cancer to help mammography interpreting physicians prioritize their workflow, aiding early detection without replacing full diagnostic evaluation.

Saige-Q is a software tool that analyzes digital breast mammograms using artificial intelligence to identify exams that may contain suspicious findings suggestive of breast cancer. It helps radiologists prioritize these exams in their worklist, enabling faster review of potentially concerning cases. The tool provides passive notification codes but does not provide diagnostic decisions and supports both full-field digital mammography and digital breast tomosynthesis images.

HealthMammo is an AI-enabled software tool designed to analyze 2D full-field digital mammograms to identify and flag suspicious findings. It assists radiologists by prioritizing mammogram cases in the PACS/worklist, helping clinicians review critical cases faster and improve workflow efficiency without replacing diagnostic evaluation.

cmTriage is a software tool that uses artificial intelligence to analyze 2D digital mammograms and flags suspicious cases to help radiologists prioritize which exams to review first. It integrates with the Picture Archiving and Communication System (PACS) worklist but does not alter images or provide diagnostic results. cmTriage aims to improve the efficiency of breast cancer screening workflows by identifying potentially abnormal cases for quicker attention.