FDA Radiology AI Devices

AI-Rad Companion Organs RT is a software product by Siemens that uses deep learning to automatically contour organs at risk on CT imaging data. The output contours help radiation oncologists plan external beam radiation therapy by providing accurate anatomical structures for treatment planning. The software processes CT scans, generates contour data in DICOM RTSTRUCT format, and integrates with treatment planning systems to improve clinician workflow and efficiency in radiation therapy preparation.

BriefCase by Aidoc Medical is an AI-powered software that analyzes head CT angiography images to detect suspected large and medium vessel occlusions. It assists trained medical specialists by providing notifications of suspected positive findings to help prioritize and triage cases for faster review. It operates alongside standard workflows without altering original medical images, helping clinicians identify urgent cases more quickly.

BriefCase is an artificial intelligence software that automatically analyzes CT chest with contrast scans to detect suspected cases of aortic dissection. It helps hospital networks and medical specialists by flagging possible cases to prioritize workflow and speed up patient triage. It provides notifications with preview images for informational use, aiding clinicians in prompt attention to urgent cases without replacing standard diagnostic procedures.

The Aquilion Precision (TSX-304A/4) V10.10 with AiCE is a whole-body CT scanner with ultra-high resolution that uses advanced AI deep convolutional neural networks to reduce image noise and enhance image quality, particularly for abdominal, pelvic, lung, and cardiac scans. It helps clinicians obtain clearer, more detailed images while potentially reducing radiation dose, thereby improving diagnostic confidence and patient care.

Rapid ICH by iSchemaView Inc. is a medical software that uses artificial intelligence to analyze head CT scans for signs of intracranial hemorrhages such as IPH, IVH, SAH, and SDH. It helps hospitals and radiologists prioritize CT images needing urgent attention by providing notifications about suspected hemorrhages, enabling faster diagnosis and treatment without altering the original medical images or replacing diagnostic interpretation.

Viz RV/LV is a software tool that uses artificial intelligence to automatically measure the size of the right and left ventricles of the heart from CT pulmonary angiogram scans. It provides annotated images and a summary report to assist clinicians in evaluating right ventricular enlargement, potentially aiding diagnosis and treatment decisions.

BriefCase by Aidoc Medical is an AI-powered software that analyzes CTPA images to detect suspected Pulmonary Embolism cases and notifies clinicians via a desktop application to prioritize these potentially critical cases. It works alongside the standard image interpretation process, helping healthcare professionals triage faster and improve patient care without altering original medical images.

AutoContour RADAC V2 is a software tool that helps radiation treatment planners by automatically outlining anatomical structures in CT and MR images to assist in radiation therapy treatment planning. It uses machine learning models trained on large datasets to generate these contours and allows clinicians to review and modify them before exporting for use in treatment.

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.