FDA Radiology AI Devices

The Study Watch with Irregular Pulse Monitor by Verily Life Sciences is a wearable device designed for adults diagnosed with or at risk for atrial fibrillation (AF). It continuously monitors heart rhythms using photoplethysmography (PPG) and single-channel ECG measurements. The device notifies users of irregular pulses, prompting ECG collection, and securely transmits data for healthcare provider review. This aids early detection and monitoring of AF, enabling timely clinical intervention.

The ZEUS System (Zio Watch) is a prescription-based wearable device and software system that uses AI to analyze cardiac signals from an ECG and PPG sensor to detect and report atrial fibrillation. It provides clinicians with detailed reports to aid in diagnosing and managing atrial fibrillation in adult patients.

The Eko Murmur Analysis Software (EMAS) is a cloud-based AI-driven tool that analyzes heart sound and ECG data to detect and classify heart murmurs, distinguishing between innocent and structural murmurs. It supports clinicians by offering decision support in evaluating heart sounds, enhancing the diagnostic process for pediatric and adult patients without replacing clinical judgment.

IDx-DR v2.3 is an AI-based diagnostic software that automatically detects more than mild diabetic retinopathy from retinal images captured with a Topcon NW400 fundus camera. It helps healthcare providers identify patients who need referral to eye care professionals, improving timely diagnosis and management of diabetic retinopathy.

ART-Plan is an advanced software tool designed to assist medical professionals in cancer radiotherapy planning. It supports visualization and manipulation of 3D multi-modal medical images (CT, MR, PET-CT, CBCT, 4D-CT) and includes AI-driven automatic and semi-automatic segmentation of organs at risk and lymph nodes. It also allows image registration and generation of synthetic CT images from MRI, facilitating precise and efficient radiation treatment planning.

The Atrial Fibrillation History Feature is a software application designed to analyze pulse rate data from Apple Watch sensors to detect episodes of irregular heart rhythm indicative of atrial fibrillation (AFib). It provides users with estimates of the amount of time spent in AFib over past periods and visualizes this alongside lifestyle data to help users understand the impact of their behavior on their condition. It assists patients in monitoring AFib burden over time but is not meant to replace traditional diagnosis or treatment methods.

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.