FDA Radiology AI Devices

ScreenDx is an AI-powered software device that analyzes lung CT scans to identify patterns suggestive of interstitial lung disease. It provides clinicians with a qualitative output to help refer patients who may benefit from further assessment of lung fibrosis, supplementing standard care workflows but not replacing diagnostic methods.

The NuVasive Pulse System is a medical device that helps surgeons precisely locate anatomical structures during spinal surgeries using intraoperative 3D imaging and computer-assisted navigation. It tracks surgical instruments in real-time and overlays their virtual positions on patient images, enhancing surgical accuracy and safety in procedures like pedicle screw placement and iliosacral screw placement.

The Dental Cone-beam Computed Tomography (FinScan F350) is an imaging system designed for dental and maxillofacial diagnostic support. It uses cone-beam CT technology along with panoramic and cephalometric X-ray imaging to produce detailed images of the dento-maxillofacial and TMJ structures, aiding dentists and health professionals in diagnosis, including assessment of growth and maturity for orthodontic treatment.

The uCT 780 is a computed tomography (CT) system designed to produce cross-sectional images of the body including head, neck, chest, cardiac and vascular regions. It offers advanced AI-driven image reconstruction to improve image quality and reduce radiation dose, supporting lung cancer screening and various diagnostic tasks. This helps clinicians obtain clearer images for diagnosis while lowering radiation exposure for patients.

Brainomix 360 e-CTA is a software system used by trained medical professionals to analyze CT Angiography images of the brain. It processes these images to provide visualizations and quantitative measurements, such as vessel density asymmetry, specifically in the middle cerebral artery region. This helps clinicians assess cerebral blood vessel conditions and supports clinical decision-making for stroke and related conditions. The software uses AI/ML algorithms to improve vessel detection and image quality, and integrates with standard hospital imaging systems for ease of use.

The TMINI Miniature Robotic System is a robotic-assisted surgical device designed to help surgeons accurately plan and execute total knee replacement surgeries. It uses preoperative CT scans to create 3D bone models, allowing precise implant positioning through software planning and robotic guidance. The system enhances surgical accuracy and efficiency by using AI-enhanced image segmentation, intraoperative tracking, and spatial boundary definition during surgery.

JLK-ICH is an AI-powered software that analyzes non-contrast CT scans of the head to detect suspected intracranial hemorrhage. It provides automated notifications to clinicians to prioritize review, allowing faster communication and potentially improving patient outcomes. The software works alongside standard care without replacing diagnostic evaluations.

syngo.CT Dual Energy is a post-processing software application for CT scans that uses dual-energy imaging techniques combining low and high energy X-ray spectra to enhance visualization of different materials in the body. It helps clinicians by providing advanced imaging features for better evaluation of anatomical structures and pathologies, including brain hemorrhage visualization, lung perfusion, kidney stone analysis, and more, improving diagnostic accuracy without requiring additional scans.

Aquilion ONE (TSX-308A/3) V1.5 is a whole-body multi-slice helical CT scanner capable of imaging entire organs in a single rotation. It uses AI-powered deep learning reconstruction and noise reduction algorithms to enhance image quality, reduce radiation dose, and minimize artifacts. This helps clinicians obtain clearer diagnostic images for various body regions including the head, chest, abdomen, pelvis, cardiac, extremities, and lungs, supporting better patient diagnosis and treatment planning.

IQ-UIP is an AI-powered computer-aided software designed to analyze non-contrast chest CT scans to detect and notify specialists about radiological findings suggestive of usual interstitial pneumonia (UIP), a type of fibrotic lung disease. It works alongside standard radiological workflows to help clinicians by providing summarized findings via a worklist application, assisting in the evaluation of interstitial lung disease without altering original images or providing diagnostic conclusions itself.