FDA Radiology AI Devices

The HS40 Diagnostic Ultrasound System by Samsung Medison is a general-purpose, mobile ultrasound device designed to acquire and display ultrasound images and analyze body fluids. It supports multiple imaging modes including 2D, 3D/4D, Doppler, and elastography, and incorporates AI-based features such as NerveTrack for nerve detection and UterineAssist for uterus segmentations to aid clinicians in diagnosis and procedural guidance.

TeraRecon Neuro is an AI-powered image processing software that analyzes brain perfusion data from CT or MRI scans. It helps healthcare professionals visualize blood flow and other key parameters in the brain to aid diagnosis, treatment planning, and post-treatment evaluation by providing detailed parametric maps and 3D visualizations of brain tissues and vessels.

AI-Rad Companion (Pulmonary) is AI-powered software that analyzes chest CT scans to help radiologists and clinicians identify and measure lung structures and lesions. It segments lungs and lung lobes, detects lung nodules, compares current images to prior scans for lesion follow-up, and quantifies pulmonary density. These features support the clinical assessment and monitoring of lung diseases, improving workflow efficiency and diagnostic accuracy.

ClearPoint Maestro Brain Model is a software tool that uses AI to automatically identify, label, and measure the volume and shape of various brain structures from MRI scans. This helps clinicians by simplifying and speeding up the process of brain image analysis, supporting diagnosis and treatment planning in neurological conditions.

Customize is a prescription-use software tool designed to assist clinicians in planning ankle arthroplasty surgeries. It uses CT and X-ray images to generate 3D models and helps visualize and modify surgical treatment plans. The software incorporates AI to segment anatomical structures, improving preoperative planning and communication of treatment options.

ABMD Software is an AI-powered application that measures bone mineral density from existing CT scans by analyzing the trabecular region of vertebral bones. It assists clinicians by providing retrospective assessment of bone density without the need for additional dedicated scans, thereby avoiding extra radiation exposure. It supports healthcare providers by offering BMD, Z-scores, and T-scores for evaluation, serving as a supplementary diagnostic tool rather than replacing standard DXA scans.

cvi42 Auto Imaging Software Application is an AI-powered medical imaging software designed to assist clinicians in evaluating cardiovascular MR and CT images. It uses machine learning to semi-automatically contour cardiac structures, perform calcium scoring, and analyze coronary arteries, aiding in diagnosis and quantitative assessment of heart and vessel conditions.

AI4CMR v1.0 is a software tool that uses artificial intelligence to automatically analyze cardiac MRI scans to measure cardiac function parameters like ventricle volumes and ejection fraction. It helps clinicians by providing automated quantification of cardiac metrics from MR images, improving workflow efficiency and supporting clinical decisions when integrated into a DICOM viewer.

The Vivid E80, Vivid E90, and Vivid E95 are advanced diagnostic ultrasound systems designed primarily for cardiac imaging but also applicable to vascular and general radiology. These systems use ultrasound technology to capture, process, and analyze images of the human body, aiding clinicians in precise measurements and display of ultrasound data. They include features such as 3D imaging, Doppler modes, and AI-assisted tools like Easy Auto EF and Easy AFI LV for enhanced image analysis, improving workflow and diagnostic accuracy for healthcare professionals.

Libby Echo:Prio is a software tool that processes DICOM-compliant cardiac ultrasound images to provide automated measurements and analysis of cardiac function, such as ejection fraction and heart rate. It supports cardiologists and sonographers by automating view classification, border segmentation, and generating quantification reports, thus aiding clinical decision-making in cardiac care.