FDA Radiology AI Devices

DeepFoqus-Accelerate is an AI-driven software solution designed to improve brain MRI scans by reconstructing accelerated MRI data up to 4 times faster, producing clinical-quality images from undersampled data. It helps radiologists and technologists by enhancing non-contrast brain MRI images from 1.5T or 3T Siemens and GE scanners, making MRI scanning more efficient while maintaining image quality.

The EyeBOX EBX-4.1 is an eye-tracking device designed to help diagnose concussions by measuring eye movements. It uses a high-speed infrared camera to record gaze while the patient watches a video stimulus. The device automatically analyzes the data and produces a BOX score indicating the likelihood of concussion, comparing the eye tracking metrics to a normative database of uninjured individuals. This helps clinicians assess brain injury more objectively and quickly.

HeartFocus (V.1.1.1) is an AI-powered software accessory designed to help healthcare professionals acquire high-quality 2D cardiac ultrasound images. It guides users in real-time to position the ultrasound probe correctly and detects when images meet diagnostic quality. This assists both experienced sonographers and less trained medical professionals in capturing standardized heart views, improving the quality and consistency of cardiac ultrasound exams.

Philips VSC-MEDlib is a software library intended to automatically and contactlessly measure respiration rate by analyzing video streams of a patient's torso during virtual consults or health screenings. It uses camera-captured images to detect torso motion and calculate breathing frequency, providing clinicians with an additional vital sign measurement to support patient assessment. It is designed for use in clinical or home environments under healthcare professional supervision.

QFR (3.0) is a software device that processes X-ray angiogram images to provide quantitative analysis of coronary vessels. It uses deep learning and 3D reconstruction from angiographic images to measure vessel dimensions and quantify pressure drops, aiding cardiologists in evaluating coronary artery disease and supporting treatment decisions.

RayStation and RayPlan are advanced software systems designed for radiation therapy planning and medical oncology. They help clinicians propose and optimize treatment plans based on patient imaging data, improving the delivery of safe and effective radiation doses. The software supports a range of radiotherapy techniques, including photon and proton therapies, and incorporates sophisticated dose calculation and optimization algorithms to tailor treatments to individual patients' needs.

The WHOOP ECG (electrocardiogram) Feature is a mobile application software used with the WHOOP Strap wearable device to record and analyze a single-channel ECG signal similar to a Lead I ECG. It helps users detect atrial fibrillation, normal sinus rhythm, and abnormal heart rates by providing informational ECG data and rhythm classification, aiding users and clinicians in heart rhythm monitoring without replacing traditional diagnosis methods.

Masimo W1 is a wearable watch device that continuously records, displays, and transfers single-channel ECG rhythms and pulse oximetry parameters. It includes software for automated classification of atrial fibrillation to aid in heart rhythm identification, designed for adults in clinical and home settings to support healthcare professionals and patients in monitoring heart conditions.

AI-Rad Companion Organs RT is an AI-powered software that automatically segments predefined organs-at-risk from CT and MR images. It helps radiation oncologists by generating contours used in treatment planning, streamlining workflow and improving efficiency. The contours produced are reviewed and edited by trained professionals before use in radiation therapy.

The Nurochek-Pro System is a portable EEG-based device that generates visual evoked potentials to help healthcare professionals diagnose mild traumatic brain injury (mTBI) in patients aged 12 to 44. Worn on the patient's head, it records brain electrical activity and provides an analytic aid to detect mTBI within 5 days after a potential head injury, improving diagnostic accuracy in clinical settings.