FDA Radiology AI Devices

The UNiD Spine Analyzer is a web-based software tool that helps surgeons and healthcare providers view and measure spine-related medical images, plan surgical procedures, and simulate surgical strategies. It incorporates machine learning predictive models to assist in preoperative planning and includes a database of implant templates to aid in selecting and placing surgical implants. The software enhances clinical decision-making by providing quantitative radiographic parameters and predictive outputs for spine surgery planning.

The AHI System is a software tool that helps healthcare professionals monitor adult patients' cardiovascular status by analyzing ECG signals to detect signs of current hemodynamic instability and predict future episodes. It provides continuous updates and color-coded alerts for clinicians to increase vigilance and improve patient care.

EndoScreener is a computer-assisted detection software that automatically identifies and highlights potential polyps during colonoscopy procedures. It processes the live video feed from the colonoscope and overlays blue boxes on suspected polyps, alerting the physician in real-time to improve polyp detection and assist clinical decision-making during colonoscopy in adults.

IM007 by Implicity, Inc. is an AI-powered software that analyzes ECG data from Insertable Cardiac Monitors to help healthcare professionals detect various cardiac arrhythmias, such as atrial fibrillation and ventricular tachycardia. It works by processing ECG signals remotely uploaded from compatible devices and provides analysis results to clinicians to support diagnosis and patient monitoring.

The Irregular Rhythm Notification Feature 2.0 (IRNF 2.0) is a software application used on Apple Watch and iPhone that analyzes pulse rate data using machine learning to detect irregular heart rhythms, such as atrial fibrillation (AFib). It notifies users of possible AFib episodes to help prompt medical consultation, supporting non-invasive heart rhythm monitoring through wearable technology.

EYE-SYNC is a portable eye-tracking device that helps medical professionals diagnose concussions by recording and analyzing eye movements. It includes a head-mounted eye tracker, a display, and a tablet app that together monitor eye motion patterns to detect impairments linked to mild traumatic brain injury in sports-related head injuries. This assists healthcare providers in making timely and accurate concussion assessments.

RayStation 11.0 is a software system used in radiation therapy and medical oncology for planning, analyzing, and administering treatment plans. It helps clinicians design and optimize radiation treatments accurately based on the patient's medical imaging data, enhancing treatment effectiveness and safety.

The TruSPECT Radiological Image Processing Station is a nuclear medicine imaging software system designed to process and display SPECT images alongside CT/MR scans for enhanced clinical diagnosis, including attenuation correction and quantitative assessment. It supports AI-based attenuation correction to improve image quality and aids clinicians, particularly for cardiac imaging and other clinical applications, by providing advanced visualization, segmentation, and quantitative tools.

The Vereos PET/CT is an advanced diagnostic imaging device that integrates PET and CT technologies to produce detailed anatomical and functional images of the whole body and major organs. It helps clinicians detect, localize, diagnose, and monitor diseases in oncology, cardiology, and neurology with improved image quality by employing an AI-powered adaptive reconstruction algorithm, enhancing diagnostic confidence and treatment planning.

The syngo.via RT Image Suite by Siemens is a software tool that helps clinicians visualize, manipulate, and contour medical images in 3D and 4D across multiple imaging modalities. It supports the preparation of radiation therapy treatments by allowing the viewing and editing of contours for tumors and organs-at-risk, managing points of interest, and generating synthetic CT images using AI algorithms. This tool improves the accuracy and efficiency of treatment planning for patients undergoing radiation therapy.