FDA Radiology AI Devices

Segment 3DPrint is a medical software developed by Medviso AB that helps clinicians review and segment images from medical scanners to generate detailed 3D models. These models assist doctors with visualization, measuring, and treatment planning, particularly in orthopaedic, maxillofacial, and cardiovascular fields. The software also supports creating physical 3D printed replicas from these models, enhancing clinical workflows and patient care.

Oxehealth Vital Signs is a software medical device that uses video footage from fixed-installation cameras to noninvasively measure pulse rate and estimated breathing rate through analysis of chest wall movements. It is designed for use in single occupancy rooms within hospitals and secured environments where healthcare professionals periodically monitor patients. This technology enables spot checks of vital signs without physical contact, supporting clinical monitoring while minimizing patient disturbance and infection risk.

Rapid is a medical image processing software that helps clinicians visualize and analyze tissue changes in CT and MRI images, particularly aiding in the selection of acute stroke patients for treatment. It uses AI/ML components to detect image artifacts and supports advanced imaging features such as perfusion, diffusion and dynamic contrast analysis.

Contour ProtégéAI by MIM Software Inc. is an AI-powered software tool that helps trained medical professionals automatically create contours of anatomical structures on CT and MRI scans. The software uses machine-learning algorithms to segment normal organs and tissues, aiding in quantitative analysis and radiation therapy planning. It is intended to improve workflow efficiency and treatment accuracy by automating tedious contouring tasks.

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.