FDA Radiology AI Devices

The HS40 Diagnostic Ultrasound System by Samsung Medison is a versatile ultrasound imaging device designed to capture and display detailed ultrasound images using various modes such as 2D, Doppler, and 3D/4D imaging. It supports a wide range of clinical uses from obstetrics and gynecology to cardiac and musculoskeletal imaging, helping healthcare professionals diagnose conditions and analyze anatomical structures safely and effectively.

The SIGNA 7.0T is a high-performance whole-body magnetic resonance imaging (MRI) system designed to produce high-resolution images with high signal-to-noise ratio and short scan times. It supports imaging of the head and extremities in multiple planes and includes AI-driven image reconstruction software called AIR Recon DL, which enhances image quality by improving signal-to-noise ratio and sharpness without compromising low contrast detectability. This aids clinicians by providing clearer images for more accurate diagnoses.

HYPER AiR is a software device that enhances PET images by using pre-trained neural networks integrated into the image reconstruction process. It helps radiologists and nuclear medicine physicians by reducing noise and improving image contrast in fluorodeoxyglucose (FDG) PET scans, thereby potentially improving diagnostic confidence.

MEDO-Thyroid is a cloud-based software that uses machine learning to help radiologists evaluate ultrasound images of the thyroid. It assists in measuring thyroid lobes and nodules, supports diagnosis by providing volume measurements and TI-RADS classification, and generates reports, improving the efficiency and accuracy of thyroid image assessment for adult patients.

Cartesion Prime (PCD-1000A/3) V10.8 is a diagnostic imaging system that combines Positron Emission Tomography (PET) and multi-slice Computed Tomography (CT). It provides fused images to help clinicians assess metabolic and functional information for evaluating oncological, cardiovascular, and neurological diseases. The device incorporates an AI algorithm called AiCE-i that improves PET image quality and reduces noise using deep learning methods, facilitating better diagnosis and treatment planning.

Preview Shoulder is a pre-operative planning software that helps orthopedic surgeons develop shoulder surgery plans by processing patient CT scans. The software reconstructs 3D models of the shoulder anatomy, allowing surgeons to digitally place implants and generate detailed surgical planning reports, thus aiding surgical preparation without providing diagnostic decisions.

Automatic Anatomy Recognition (AAR) is a software medical device that uses deep learning to automatically identify and contour anatomical structures from CT scans. It is designed to assist technicians and physicians in radiation therapy planning by providing precise contours of organs at risk in the head, neck, and chest areas. This helps improve the accuracy and efficiency of treatment planning for patients undergoing radiation therapy for cancers in these body regions.

AI Segmentation by Varian Medical Systems is a cloud-based AI software tool that segments patient anatomical structures from CT scans to assist radiation therapy treatment planning. It automatically delineates organs at risk in regions such as head and neck, thorax, pelvis, and abdomen, helping radiation therapy professionals by streamlining contouring tasks and integrating with treatment planning systems, though clinicians review and approve the results.

Saige-Q is a software tool that analyzes digital breast mammograms using artificial intelligence to identify exams that may contain suspicious findings suggestive of breast cancer. It helps radiologists prioritize these exams in their worklist, enabling faster review of potentially concerning cases. The tool provides passive notification codes but does not provide diagnostic decisions and supports both full-field digital mammography and digital breast tomosynthesis images.

BriefCase for RibFx is an AI-powered software that assists medical specialists by analyzing chest CT scans to identify and flag cases with three or more acute rib fractures. It provides notifications and low-quality preview images on a desktop application, helping radiologists prioritize and review urgent cases sooner, thereby improving workflow efficiency and patient care.