FDA Radiology AI Devices

MVision AI Segmentation is a software device designed to automatically create segmentation templates of anatomical regions on CT images to assist clinicians in radiation therapy treatment planning. It uses machine learning-based algorithms to generate initial contours for multiple anatomical sites, which clinicians can review and modify before use, helping to save time and improve efficiency in clinical workflows.

aPROMISE X is a software platform for healthcare professionals and researchers that assists in accepting, transferring, storing, manipulating, quantifying, and reporting digital medical images from PSMA PET/CT scans. It allows users to visualize multiple scans, mark regions of interest, and perform quantitative analysis to help identify suspicious lesions in oncology cases, improving clinical efficiency and consistency.

The EFAI RTSuite CT HN-Segmentation System is AI-powered software designed to assist radiation oncology professionals by automatically contouring organs at risk in head and neck CT images. It helps streamline radiation therapy treatment planning by providing initial segmentations that clinicians review and edit, improving workflow efficiency and accuracy.

HealthOST is an AI-powered image processing software that analyzes CT scans of the spine to help clinicians detect and assess musculoskeletal diseases in patients aged 50 and older. It labels vertebrae, measures vertebral height loss, and calculates bone density using Hounsfield Units, providing quantitative data to aid diagnosis and treatment planning without replacing clinical judgment.

AI-Rad Companion Brain MR is software that assists clinicians by automatically analyzing brain MRI scans. It segments various brain structures, quantifies their volumes, and highlights white matter hyperintensities, comparing results to normal data. This helps radiologists make more accurate and efficient evaluations of brain health.

INTContour is a software tool that uses machine learning to automatically identify and outline organs and treatment targets on medical images to aid radiation therapy planning. This helps clinicians by providing initial segmentations that can be reviewed and edited, saving time and improving efficiency in treatment preparation for cancer patients.

ClariPulmo is a software tool designed to analyze lung CT images. It helps doctors by automatically segmenting the lungs and quantifying areas of low and high attenuation in the lung tissue. It includes AI-based features like deep learning segmentation, denoising, and kernel normalization to improve image quality and quantification, especially for low-dose CT scans. This software supports clinical assessment of lung abnormalities by providing color-coded images and quantitative reports.

The HERA W9 and HERA W10 Diagnostic Ultrasound Systems by Samsung Medison are advanced ultrasound machines designed to capture and display ultrasound imaging including B-mode, Doppler modes, 3D/4D imaging, and provide measurement and analysis tools to assist healthcare professionals in diagnosing various conditions. They support a wide range of clinical applications such as fetal, abdominal, cardiac, musculoskeletal, and more, helping clinicians in hospitals and clinics perform accurate diagnostic imaging and fluid analysis efficiently.

Customize is a software tool designed to assist physicians in planning shoulder arthroplasties by visualizing, modifying, and validating 3D models generated from CT scans. It helps communicate treatment options, segments CT data, and manages cases and timelines, aiding clinicians in surgical preparation and decision-making.

Arterys MICA is a cloud-based medical imaging software that helps healthcare professionals view, process, and analyze medical images from CT and MRI scans. It includes AI modules that assist in cardiac and oncology evaluations by automating image quantification and lesion assessments, supporting clinicians in their diagnostic workflows.