FDA Radiology AI Devices

Annalise Enterprise CXR Triage Trauma is an AI-based software tool designed to assist clinicians by analyzing adult chest X-ray images to detect features suggestive of vertebral compression fractures. It integrates with hospital image and order management systems to prioritize cases with potential fractures, facilitating timely review in clinical workflows such as Bone Health and Fracture Liaison Service programs. The device supports clinicians in identifying urgent cases but does not replace clinical decision-making.

RadioLens v1.0 by Synapsica is a medical image management and processing system that allows radiologists and medical practitioners to view, analyze, and report on DICOM-format radiology images. The software includes an AI module called SpindleX for automated analysis and measurement of spinal ligament injuries in digital stress X-rays of the cervical and lumbar spine. This helps clinicians by providing quantitative measurements and detailed reports, enhancing diagnostic accuracy and efficiency in spinal injury assessment.

Overjet Caries Assist is an AI-powered software that helps dentists detect and segment dental caries (tooth decay) on bitewing and periapical X-ray images. It provides computer-generated annotations highlighting potential caries to support dentists' diagnosis, improving sensitivity in caries detection. It operates by processing dental radiographs using machine learning models and presenting annotated images in a viewer interface for the dentist. This assists dentists but does not replace professional judgment.

MPXA-2000 is a software tool intended for cardiologists and radiologists to automatically analyze X-ray angiographic images of the coronary arteries. It uses deep learning and computer vision algorithms to segment blood vessels, classify vessel types, quantify vessel dimensions, and support clinical decisions related to coronary artery disease. The software provides validated, reproducible quantitative results to aid in diagnosis and treatment evaluation, with results available for review and export.

FlightPlan for Embolization by GE Medical Systems SCS is a software application that processes 3D X-ray angiography images to help clinicians visualize blood vessels during the planning phase of embolization procedures. It uses AI-powered algorithms to automatically segment vasculature and define root points, assisting physicians in better treatment planning. This enhances clinical decision-making but is not intended for use during the delivery of therapy itself.

NeuroRPM is a software application for the Apple Watch that uses machine learning to analyze motion sensor data to quantify motor symptoms like tremor, bradykinesia, and dyskinesia in adult Parkinson's disease patients. It helps clinicians remotely monitor symptom presence every 15 minutes, supporting both clinic and home use for improved patient management.

Viz AAA is an AI-powered software device designed to analyze CT angiogram images of the abdomen to detect suspected abdominal aortic aneurysms. It helps specialists prioritize patient studies by flagging those with potential aneurysms, improving workflow efficiency in clinical settings. The software provides non-diagnostic preview images and emphasizes that diagnostic decisions remain with treating specialists.

The uMI Panorama is a diagnostic imaging system that combines PET and CT imaging modalities to provide detailed metabolic and anatomical information. It assists clinicians in detecting, diagnosing, staging, and managing diseases, inflammation, infection, and disorders in multiple clinical fields. This system can also independently function as a CT scanner for lung cancer screening and delivers enhanced image reconstruction through AI algorithms, improving image quality and diagnostic accuracy.

AccuContour is a software for radiation oncology departments that uses AI-based deep learning to automatically register multi-modality medical images and segment non-contrast CT images. It assists clinicians in treatment planning, evaluation, and adaptation by generating critical imaging information, thus improving workflow efficiency and patient care in radiation therapy.

Spectral Bone Marrow is an automated deep learning-based software designed for spectral CT images of the body and extremities. It segments bone regions and creates enhanced, color-coded images to help radiologists better visualize bone marrow. This assists in diagnosing traumatic and non-traumatic bone conditions more efficiently by providing improved image visualization and an automated clinical workflow.