FDA Radiology AI Devices

Ultrasound Workspace (UWS 6.0) is a clinical software package from Philips designed for analyzing and quantifying ultrasound images of cardiovascular, fetal, and abdominal structures. Using AI and machine learning, it supports physicians in diagnosing conditions by automating the measurement of heart functions, valve anatomy, and blood flow dynamics. This helps improve efficiency and accuracy in interpreting ultrasound exams, particularly in adult cardiac applications.

Identify (4.0) is a medical device by Varian Medical Systems designed to monitor patient motion and respiratory patterns during radiotherapy treatment simulation and delivery. Using high precision surface guided radiation therapy cameras, it helps clinicians accurately position patients and detect motion during treatment, enhancing patient safety and treatment accuracy by synchronizing imaging and radiation delivery with patient motion data.

The EPIQ Series Diagnostic Ultrasound System and Affiniti Series Diagnostic Ultrasound System by Philips Ultrasound LLC are advanced diagnostic ultrasound devices that use AI-powered AutoMeasure V3 software to provide semi-automated 2D, Doppler, and M-mode measurements for adult echocardiography. These systems help healthcare professionals efficiently perform and analyze cardiac ultrasound exams, improving measurement accuracy and workflow in clinical environments such as hospitals and clinics.

BoneMetrics (US) is an AI-powered software that automatically measures Cobb angles on frontal spine x-rays to assist healthcare professionals in evaluating spinal deformities such as scoliosis. It integrates with existing imaging systems to provide quantitative angle measurements that can support clinical decision-making, improving workflow efficiency and consistency.

Bunkerhill AVC is a medical software designed to automatically detect and quantify calcium deposits on the aortic valve using non-contrast chest CT scans. It helps physicians by providing a region of interest and an estimated calcium score to assist during case review, improving the identification and assessment of aortic valve calcification in adult patients.

The DigitMI 930 is a PET/CT imaging system that combines positron emission tomography and computed tomography to produce detailed images of metabolic and physiological functions in the body. It helps clinicians detect, localize, evaluate, diagnose, and monitor a wide range of conditions including cancer, cardiovascular disease, and neurological disorders by providing precise anatomical and functional imaging.

Galen™ Second Read™ is a software tool that analyzes digital images of prostate biopsy slides to identify regions suspicious for prostate cancer. It flags slides initially diagnosed as benign if it detects potential cancer areas, providing pathologists with case-level alerts and heatmaps to assist in further review. This helps improve cancer detection beyond the initial pathology review but is not intended to replace standard pathology diagnosis.

MAGENTIQ-COLO (ME-APDS) is a computer-aided detection system used alongside standard white-light colonoscopy videos to help endoscopists identify suspicious regions indicative of polyps. It processes live video frames using AI to highlight possible lesions during colonoscopy, aiming to improve detection rates and assist clinicians in real-time without replacing clinical judgement or histopathological diagnosis.

The Nicolet EDX is a diagnostic system by Natus Neurology Incorporated that helps healthcare providers measure electrical activity in nerves and muscles through tests like nerve conduction studies, electromyography, and evoked potentials. It assists clinicians in assessing nervous system function, locating neural structures during surgery, and supporting diagnosis of neuromuscular conditions by recording and analyzing electrophysiological signals.

TechCare Trauma by Milvue is an AI software that analyzes 2D X-ray images to help clinicians detect, localize, and characterize fractures and elbow joint effusions in a wide range of anatomical areas and patient populations including neonates, children, and adults. The software integrates into existing medical imaging workflows and supports clinicians by highlighting suspicious findings, improving diagnostic accuracy without replacing primary clinical decision-making.