FDA Radiology AI Devices

Discover FDA-cleared medical imaging AI devices with clean summaries, company insights, and linked references. We help you quickly understand what's approved, who built it, and how it fits into the evolving landscape of radiology AI.

RBknee is an AI-powered software that automatically analyzes knee X-ray images to measure joint space width and assess signs of knee osteoarthritis. It provides objective measurements and standardized grading to help medical professionals in evaluating knee osteoarthritis severity, supporting diagnosis and treatment decisions.

FDA #
K203696
Product Code
LLZ

Volpara Imaging Software is an AI-driven tool that processes raw digital mammography and tomosynthesis images to generate detailed breast density maps and quantitative metrics. It helps healthcare professionals assess breast composition by providing volumetric measurements and BI-RADS density categories as adjunctive information in breast cancer screening and assessment.

FDA #
K211279
Product Code
LLZ

Change Healthcare Anatomical AI is a standalone software that uses AI algorithms to analyze CT and MR images, automatically identifying anatomical regions and creating detailed anatomic descriptors. This information helps clinicians and integrated healthcare systems quickly locate and categorize relevant images or studies without altering the original images.

FDA #
K210719
Product Code
QIH

PowerLook Density Assessment V4.0 is a software tool that analyzes synthetic 2D images from digital breast tomosynthesis exams to provide breast density categories using the ACR BI-RADS 5th Edition. This helps radiologists assess breast tissue composition as an adjunctive aid, improving breast cancer screening processes.

FDA #
K211506
Product Code
QIH

IDx-DR is an AI software device designed to help healthcare providers automatically detect more than mild diabetic retinopathy in diabetic adult patients using retinal fundus images. It assists clinicians by analyzing images captured from a specialized retinal camera and providing a diagnostic screening result, thus potentially improving early detection and management of diabetic eye disease.

FDA #
K203629
Product Code
PIB

Optellum Virtual Nodule Clinic is an AI-powered software that helps medical professionals track, assess, and characterize pulmonary nodules detected incidentally in CT scans. It provides a malignancy likelihood score using a convolutional neural network to support clinical decision making, improving diagnostic accuracy and patient management workflows for lung nodules.

FDA #
K202300
Product Code
POK

The Analytic for Hemodynamic Instability (AHI) is a software device that analyzes ECG signals to monitor patients' hemodynamic status, detecting signs of instability defined by low blood pressure combined with high heart rate. It provides clinicians with frequent, updated alerts to increase vigilance for patients at risk of hemodynamic deterioration, serving as an adjunctive monitoring tool alongside other patient data to improve early detection and patient management in clinical settings.

Product Code
QNV

Visage Breast Density is a software application designed to analyze mammography images and classify breast density into categories according to the ACR BI-RADS Atlas 5th Edition. It uses a convolutional neural network to assist radiologists by providing adjunctive information about breast tissue composition, making breast density assessment more efficient.

FDA #
K201411
Product Code
QIH

The Imagio Breast Imaging System is a diagnostic tool that combines optoacoustic imaging and ultrasound to provide detailed structural and functional information about breast abnormalities. It uses AI-based software to help healthcare providers better classify breast masses, thereby improving diagnosis. The device is designed to assist, not replace, mammographic screening or biopsy.

FDA #
P200003
Product Code
QNK

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.

FDA #
K201555
Product Code
POK
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