FDA Radiology AI Devices

Contour ProtégéAI is a medical imaging software accessory designed to assist trained medical professionals by automatically creating anatomical contours on CT and MR images using machine learning. It helps in radiation therapy planning by segmenting various body structures, including the prostate and pelvic organs, enabling quantitative analysis, adaptive therapy, and patient follow-up. Results generated by the AI can be reviewed and edited to ensure accuracy.

AI-Rad Companion (Cardiovascular) is a software product that uses AI and deep learning to analyze previously acquired chest CT images, providing quantitative and qualitative assessments of cardiovascular structures like the heart and aorta. It helps clinicians by automating segmentation, volume measurement, calcium quantification in coronary arteries, and diameter measurements of the aorta, thus supporting accurate and efficient cardiovascular disease evaluation.

Annalise Enterprise CTB Triage Trauma is an AI-powered software that assists clinicians by automatically analyzing brain CT scans to identify signs of acute hemorrhages. It helps prioritize studies in the workflow to ensure patients with urgent findings are reviewed faster, improving triage and clinical efficiency. The system integrates with existing imaging management systems and does not provide standalone diagnostic decisions but supports clinicians in managing their workload.

Formus Hip is a preoperative planning software designed to assist orthopedic surgeons by automatically generating 3D models of the hip from CT scans and overlaying digital representations of hip implants. It uses AI algorithms for image segmentation and statistical shape modeling, helping clinicians plan hip replacement surgeries more effectively by customizing implant fitting interactively and producing printable surgical plans.

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.

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.

The Aquilion Precision (TSX-304A/4) V10.14 with AiCE is an advanced whole-body CT scanner that leverages AI through deep convolutional neural networks to reduce image noise and improve image quality. It also uses an iterative reconstruction algorithm to reduce radiation dose while enhancing spatial resolution. This helps clinicians obtain clearer and more detailed images to support diagnosis and treatment planning across various body regions, including abdomen, chest, brain, and extremities.

The Aquilion Serve (TSX-307A/1) V1.2 with AiCE-i is a whole-body multi-slice helical CT scanner enhanced with AiCE, an AI-based noise reduction algorithm using deep convolutional neural networks. It improves image quality and reduces noise for abdomen, pelvis, lung, cardiac, extremities, head, and inner ear scans, helping clinicians obtain clearer diagnostic images faster and with potentially reduced radiation dose.

Rapid NCCT Stroke is software that uses artificial intelligence to analyze non-contrast head CT scans and quickly notify clinicians about suspected areas of brain hemorrhage or large vessel blockage. This helps prioritize urgent cases and speeds up patient care, but it is intended to assist—not replace—clinical judgment and diagnosis.