FDA Radiology AI Devices

qXR-CTR is an AI-powered software that helps physicians automatically measure the cardiothoracic ratio—the size of the heart relative to the chest—using chest X-ray images. It analyzes images to provide quick, accurate measurements that support clinical decision-making, making the process more efficient for healthcare providers.

Lung-CAD is an AI-powered software that helps physicians by analyzing chest X-rays to identify areas showing interstitial thickening. It highlights these areas with bounding boxes, serving as a concurrent reading aid to improve detection. It does not replace physicians but supports them in interpreting lung images more effectively in adults.

qXR-PTX-PE is an AI-powered software that assists radiologists by automatically analyzing adult chest X-rays to detect signs of pleural effusion and pneumothorax. It helps prioritize cases by providing case-level outputs within the existing PACS/workstation without altering images or providing direct clinical diagnosis, thereby improving workflow efficiency.

VisiRad XR is an AI-powered software that helps physicians detect suspicious lung nodules and masses on chest X-rays by marking regions of interest. It acts as a second reader to assist radiologists in their interpretations, enhancing diagnostic accuracy for adult patients in outpatient or emergency settings.

uOmnispace is a medical image post-processing software solution that supports viewing, manipulation, annotation, and communication of various medical images from multiple modalities including CT, MRI, PET and DR. It includes AI-based segmentation tools like rib segmentation, and enables remote multi-user access and integration with medical imaging systems. It helps clinicians efficiently analyze and report on diagnostic images.

syngo.CT Lung CAD (Version VD30) is a computer-aided detection tool developed by Siemens Healthcare GmbH to help radiologists identify solid and subsolid pulmonary nodules in chest CT scans. The software highlights regions that might be overlooked, improving the accuracy and efficiency of lung nodule detection during radiological review. It can operate as a first or second reader and includes a mode to filter out subsolid and fully calcified nodules for focused analysis.

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.

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 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 Butterfly iQ/iQ+ Ultrasound System is a portable, handheld ultrasound device that helps healthcare professionals visualize and measure anatomical structures and fluids in both adult and pediatric patients. It supports multiple clinical applications including lung, cardiac, abdominal, and musculoskeletal imaging. The system integrates AI-powered software called Auto B-line Counter that automatically detects and counts B-lines in lung ultrasound images, aiding clinicians in diagnosing and monitoring lung conditions.