FDA Radiology AI Devices

Critical Care Suite with Pneumothorax Detection AI Algorithm by GE Medical Systems is an AI-based software tool that analyzes frontal chest X-rays to detect pneumothorax. It highlights areas of concern and provides a confidence score, helping radiologists and licensed healthcare professionals prioritize cases and accurately diagnose pneumothoraces more efficiently. The software can be integrated with existing PACS and X-ray imaging systems to streamline workflow.

Genius AI Detection 2.0 with CC-MLO Correlation is an AI-powered software designed to assist radiologists by analyzing digital breast tomosynthesis images to detect and mark suspicious soft tissue densities and calcifications. It provides confidence scores for each detected lesion, helping clinicians interpret breast cancer screening exams more effectively, including correlation between different standard mammographic views for better diagnosis workflow.

Autoplaque 3.0 is a post-processing software designed for use with coronary CT angiography images. It helps cardiologists and radiologists analyze coronary arteries to detect and measure plaques and stenosis. The AI-driven software automates vessel, plaque, and lumen segmentation with an option for clinician review, enabling faster and more standardized cardiac image analysis.

The Radiation Planning Assistant (RPA) is a web-based software tool designed to automate and assist in planning radiation therapy for cancers of the head and neck, cervix, breast, and brain metastases. It uses CT images to create contours and treatment plans with photon beam irradiation, improving efficiency and precision in radiotherapy treatment planning. The system generates outlines of organs and tumors and proposes radiation dose plans, which clinicians then review and adjust in their own treatment planning systems before use.

The EPIQ Series Diagnostic Ultrasound System by Philips Ultrasound LLC is a diagnostic ultrasound imaging device used to visualize and analyze fluid flow in the human body. It supports a wide range of clinical applications including abdominal, cardiac, vascular, musculoskeletal, and ophthalmic imaging, enhancing clinicians' ability to diagnose and guide treatment with high-resolution imaging and fluid flow analysis.

SubtleMR (2.3.x) is an AI-powered software that improves MRI images by reducing noise or enhancing sharpness. It supports MRI scans of various body regions such as head, spine, abdomen, and more. This helps clinicians obtain clearer images, potentially improving diagnostic accuracy without additional scans or equipment.

Neurophet AQUA is a software tool that helps clinicians and researchers analyze brain MRI scans by automatically identifying and measuring brain structures. It generates detailed reports comparing patient brain volumes to reference data, aiding in the assessment of neurological conditions and monitoring structural brain changes.

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.