FDA Radiology AI Devices

TeraRecon Cardiac.Chambers.MR is a software tool designed to automatically segment the anatomical structures of cardiac chambers from contrast or non-contrast cardiac MR scans in adult patients. It helps clinicians by providing precise delineation of the left and right ventricular walls, facilitating faster and more accurate cardiac assessment.

JLK-PWI is a software tool used by trained medical professionals to analyze special types of brain MRI scans called diffusion-weighted and perfusion-weighted images. It helps calculate parameters related to tissue water diffusion and blood flow, assisting clinicians in understanding brain tissue conditions. The software integrates with standard hospital imaging systems and allows for viewing and analysis, aiming to support diagnosis and treatment planning.

The RemedyLogic AI MRI Lumbar Spine Reader is a software tool that automatically analyzes MRI images of the lumbar spine to identify and measure anatomical features. It helps radiologists and spine surgeons by providing quantitative measurements and image segmentations, which can improve the efficiency and accuracy of their analyses and reporting. Users review and adjust the software's outputs before finalizing diagnostic or treatment decisions.

Neurophet AQUA (V3.1) is an automated medical software that analyzes brain MR images to help doctors by labeling, visualizing, and measuring brain structures and lesions. It compares these measurements to reference data, enabling clinicians to assess brain changes or abnormalities more efficiently and accurately.

TumorSight Viz is a cloud-based AI software that helps clinicians visualize and analyze breast MRI images in patients with early-stage or locally advanced breast cancer. It processes dynamic contrast-enhanced MRI data to provide 3D renderings, measurements, and segmentations of tumors, supporting more informed clinical evaluations and treatment planning.

Contour+ (MVision AI Segmentation) is a software tool that uses machine learning algorithms to automatically create contour outlines of anatomical regions on CT and MRI scans. It assists clinicians in radiation therapy planning by providing initial segmentations of organs and tissues, which professionals can review and modify before treatment planning. This speeds up the workflow and improves efficiency in radiation treatment preparation.

JLK-CTP is an image processing software that helps trained medical professionals analyze brain CT perfusion images. It automatically receives, processes, and visualizes dynamic CT perfusion datasets to calculate blood flow and volume parameters, aiding in the assessment of cerebral blood flow and tissue status in brain imaging.

cvi42 Software Application is a medical imaging software developed by Circle Cardiovascular Imaging Inc. that supports clinicians by enabling viewing, post-processing, and quantitative analysis of cardiovascular magnetic resonance (MR) and computed tomography (CT) images. It uses semi-automated machine learning algorithms to assist in measuring cardiac function, vessel characteristics, and calcified plaques, helping medical professionals in diagnostic decision-making related to heart and adjacent vessels.

The HERA Z20, R20, HERA Z30, R30 Diagnostic Ultrasound System by Samsung Medison Co., Ltd. is a versatile ultrasound imaging system used by healthcare professionals to obtain and analyze ultrasound images and body fluids. It offers multiple imaging modes including 2D, Color Doppler, Power Doppler, M mode, Pulsed and Continuous Wave Doppler, Tissue Doppler Imaging, and advanced AI-based features such as BiometryAssist, HeartAssist, ViewAssist, and others to aid in image recognition, measurement, and workflow efficiency. It is intended for clinical use in various applications including fetal, abdominal, cardiac, musculoskeletal, and more.

AutoChamber is an AI-powered software tool designed to analyze both non-contrast and contrast-enhanced chest CT scans to automatically measure and report volumes of cardiac chambers including left atrium, left ventricle, right atrium, right ventricle, and left ventricular wall. It assists healthcare providers by providing quantitative imaging data that helps identify conditions such as enlarged heart and left ventricular hypertrophy, thus aiding in further clinical evaluation and management of cardiovascular risk.