FDA Radiology AI Devices

Auto Segmentation by GE Medical Systems is an AI software tool that automatically generates organ-at-risk contours from CT scans to help radiation oncologists, medical physicists, and dosimetrists speed up radiation therapy planning. It produces initial segmentation contours that users can review and adjust, improving workflow efficiency and precision in radiation treatment.

The Lumify Diagnostic Ultrasound System by Philips Ultrasound is a transportable ultrasound device that provides high-resolution diagnostic imaging across various modes including B-mode, Doppler, and M-mode. It incorporates an AI-based software feature that automatically detects and quantifies lung B-lines and merged B-lines from ultrasound videos to assist clinicians in assessing lung conditions such as pneumonia and pulmonary edema. The system supports multiple transducers and is designed for use by healthcare professionals in diverse clinical settings.

The SIS System is a software tool that uses advanced machine learning and image processing to help surgeons, neurologists, and radiologists visualize critical brain structures in 3D. It assists in planning neurological procedures such as Deep Brain Stimulation by creating detailed anatomical models from MRI images and localizing implanted leads on post-operative CT images, improving accuracy and surgical outcomes.

Precision DL by GE Healthcare is a deep learning software designed to improve the quality of non-Time-of-Flight PET images used in clinical oncology. It enhances image contrast and reduces noise, helping clinicians obtain clearer PET scans to better detect and evaluate cancer, ultimately supporting improved patient care.

MR DWI/FLAIR Measurement V1.0 is a medical image processing software developed by Olea Medical that analyzes MRI brain images from diffusion-weighted imaging (DWI) and fluid-attenuated inversion recovery (FLAIR) sequences. It automatically computes diffusion maps and extracts relevant metrics to assist medical professionals in evaluating brain conditions. The software integrates with existing medical imaging platforms and helps clinicians by providing quantitative analysis to complement their diagnosis and treatment planning.

Ceevra Reveal 3 is a software medical device designed for processing, reviewing, and analyzing 3D images created from CT and MR scans. It helps clinicians with preoperative surgical planning and intraoperative image display, including interacting with 3D visualizations using mobile or desktop viewers, and even VR headsets. By using AI-driven algorithms, it generates preliminary segmentations of normal anatomical structures to assist healthcare professionals in their clinical decisions for adult patients.

The iCAC Device is a software tool that analyzes routine chest CT scans to automatically detect and quantify coronary artery calcium, which helps physicians assess cardiovascular risk. It provides outputs such as calcium segmentation visualizations and quantitative calcium scores during standard clinical workflows, assisting physicians without replacing original reports or scans.

The HERA W9 and HERA W10 Diagnostic Ultrasound Systems by Samsung Medison are advanced ultrasound devices for diagnostic imaging and fluid analysis of the human body. They support numerous clinical applications including fetal, abdominal, cardiac, musculoskeletal, and vascular imaging. These systems incorporate various imaging modes such as 2D, 3D, Doppler, and elastography, and include AI-powered features like BiometryAssist and ViewAssist that help with anatomical measurements and view recognition, aiding clinicians in making accurate diagnoses.

ViewFinder Software Version 1.1 by Elaitra Ltd is a specialized software tool designed for clinicians to review digital breast tomosynthesis images. It dynamically matches tissue across different breast views using AI to reduce cognitive load, helping radiologists to compare images more efficiently and accurately during breast cancer screening and diagnosis.

Velacur is a portable ultrasound device that measures the stiffness and attenuation of liver tissue by generating and analyzing shear waves using ultrasound imaging. It incorporates AI-based algorithms to assist clinicians in assessing liver disease by providing detailed tissue characterization, enhancing accuracy and ease of use at the point of care in clinics and hospitals.