FDA Radiology AI Devices

BriefCase by Aidoc Medical is an AI-powered software that analyzes CTPA images to detect suspected Pulmonary Embolism cases and notifies clinicians via a desktop application to prioritize these potentially critical cases. It works alongside the standard image interpretation process, helping healthcare professionals triage faster and improve patient care without altering original medical images.

AutoContour RADAC V2 is a software tool that helps radiation treatment planners by automatically outlining anatomical structures in CT and MR images to assist in radiation therapy treatment planning. It uses machine learning models trained on large datasets to generate these contours and allows clinicians to review and modify them before exporting for use in treatment.

TeraRecon Neuro is an AI-powered image processing software that analyzes brain perfusion data from CT or MRI scans. It helps healthcare professionals visualize blood flow and other key parameters in the brain to aid diagnosis, treatment planning, and post-treatment evaluation by providing detailed parametric maps and 3D visualizations of brain tissues and vessels.

AI-Rad Companion (Pulmonary) is AI-powered software that analyzes chest CT scans to help radiologists and clinicians identify and measure lung structures and lesions. It segments lungs and lung lobes, detects lung nodules, compares current images to prior scans for lesion follow-up, and quantifies pulmonary density. These features support the clinical assessment and monitoring of lung diseases, improving workflow efficiency and diagnostic accuracy.

Customize is a prescription-use software tool designed to assist clinicians in planning ankle arthroplasty surgeries. It uses CT and X-ray images to generate 3D models and helps visualize and modify surgical treatment plans. The software incorporates AI to segment anatomical structures, improving preoperative planning and communication of treatment options.

ABMD Software is an AI-powered application that measures bone mineral density from existing CT scans by analyzing the trabecular region of vertebral bones. It assists clinicians by providing retrospective assessment of bone density without the need for additional dedicated scans, thereby avoiding extra radiation exposure. It supports healthcare providers by offering BMD, Z-scores, and T-scores for evaluation, serving as a supplementary diagnostic tool rather than replacing standard DXA scans.

Deep Learning Image Reconstruction by GE Healthcare is a software solution that uses a specialized deep neural network to reconstruct high-quality CT images from raw X-ray data. It produces images with less noise and improved image quality while maintaining low radiation dose. It supports head, whole body, cardiac, and vascular CT scans, helping clinicians obtain clearer images for diagnosis.

cvi42 Auto Imaging Software Application is an AI-powered medical imaging software designed to assist clinicians in evaluating cardiovascular MR and CT images. It uses machine learning to semi-automatically contour cardiac structures, perform calcium scoring, and analyze coronary arteries, aiding in diagnosis and quantitative assessment of heart and vessel conditions.

Viz SDH is an AI-driven software designed to analyze non-contrast CT scans of the head to detect subdural hemorrhages. It provides rapid notifications of suspected cases to neurovascular or neurosurgical specialists through a mobile application, improving workflow efficiency and potentially expediting patient care decisions. The system does not replace diagnostic evaluation but serves as a parallel workflow triage tool to alert specialists early.

syngo.CT Extended Functionality is a software package that provides advanced visualization and measurement tools for medical images acquired from CT and potentially other modalities like MRI. It helps technicians and physicians perform qualitative and quantitative analysis of clinical imaging data to assist in diagnosis by creating detailed images and measurements using various specialized extensions.