FDA Radiology AI Devices

The physIQ Heart Rhythm and Respiration Module is a software device that analyzes ECG signals and movement data to calculate heart rate, heart rate variability, detect atrial fibrillation, and determine respiration rate. It helps clinicians remotely monitor cardiac and respiratory health in adult patients outside of critical care settings, enhancing patient care through advanced signal processing and automated analysis.

DeepCT is an AI software tool that analyzes non-contrast CT brain images in acute settings to detect signs of intracranial hemorrhage. It sends notifications to specialists to prioritize and review cases quickly, improving workflow and potentially speeding patient care. It supports, but does not replace, radiologists' diagnostic process.

The Aquilion Precision (TSX-304A/1 and /2) V8.8 with AiCE is an advanced CT scanner that captures high-resolution 3D images of the whole body. It uses an AI-based algorithm called AiCE (Advanced intelligent Clear-IQ Engine) to reduce image noise and enhance image quality, which helps clinicians detect details more clearly. This makes diagnoses more accurate and can potentially reduce patient radiation exposure.

Koios DS for Breast is a machine learning-based software that assists physicians in analyzing ultrasound images of breast lesions. It helps classify breast lesions into BI-RADS categories to support diagnostic accuracy, improve consistency between readers, and provide useful visual confidence indicators. The software processes selected regions of interest on ultrasound images and provides diagnostic support to clinicians.

LiverMultiScan (LMSv3) is a software tool that helps clinicians analyze liver MRI scans. It produces detailed images and quantitative maps of liver tissue properties such as fat content, iron levels, and T1 relaxation times to assist in non-invasive liver evaluation. This software aids trained operators in generating reports that help medical professionals diagnose liver diseases more accurately and efficiently.

The CLARUS 700 by Carl Zeiss Meditec, Inc. is a high-resolution ophthalmic imaging device used for capturing and analyzing images of the retina and ocular structures. It supports multiple imaging modes including true color, autofluorescence, and fluorescein angiography, aiding clinicians in diagnosing and monitoring retinal diseases by providing widefield and ultra-widefield views with AI assistance for optic nerve detection and montage creation. The device improves patient comfort and provides advanced tools for image annotation and review.

RayStation is a software system designed to assist radiation therapy staff in planning and analyzing radiation treatments. It uses patient imaging data from CT, PET, and MRI scans to create detailed treatment plans that optimize radiation delivery while protecting healthy tissue. The system includes features like image fusion, contouring, dose computation, and machine learning to optimize and adapt treatment plans efficiently, helping clinicians deliver precise and effective cancer therapy.

ClariCT.AI is a software tool designed to process and enhance CT scan images by reducing noise and improving image clarity. It supports images from various CT scanner manufacturers and helps clinicians by providing improved image quality, especially in low-dose CT scans, facilitating better diagnostic confidence without additional radiation exposure.

HealthICH is an AI software tool designed to analyze non-contrast head CT scans and identify suspected cases of intracranial hemorrhage. It notifies the clinician via the PACS/workstation to prioritize these urgent cases, helping reduce the time to diagnosis and potentially improving patient care. It operates alongside standard workflows and assists clinicians by flagging critical findings for faster review.

The Aquilion ONE (TSX-305A/6) V8.9 with AiCE is a whole body multi-slice helical CT scanner designed to acquire high-quality cross-sectional images of the whole body, including the head. It uses an advanced AI-powered reconstruction algorithm called AiCE to reduce image noise and improve image quality, helping clinicians to perform more accurate and detailed imaging across multiple anatomical regions like abdomen, pelvis, lung, and cardiac areas.