FDA Radiology AI Devices

StrokeSENS LVO is software that uses AI to analyze CT angiograms of the head to identify suspected large vessel occlusions, which can cause strokes. It assists healthcare providers by flagging potential LVO cases and sending notifications to specialists in near real-time, helping prioritize urgent cases and improve workflow efficiency. The software does not alter the original images and is intended to be used alongside existing diagnostic workflows.

VBrain-OAR is a software device from Vysioneer Inc. designed to assist trained radiotherapy personnel in brain tumor radiation therapy treatment planning by automatically generating contours of organs at risk in brain MRI images using AI deep learning. It also provides image registration functions to align multi-modality medical images. This device supports clinicians by providing initial contour outlines to improve the efficiency and consistency of radiation treatment planning, while still requiring final confirmation by qualified personnel.

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.

SubtlePET is an advanced software tool designed to improve the quality of PET medical images by reducing noise. Utilizing deep learning algorithms, it enhances image clarity, aiding radiologists and nuclear medicine physicians in interpreting PET scans more accurately. This software integrates smoothly into existing radiology workflows by receiving, processing, and forwarding DICOM images, supporting multiple radiotracers used in PET imaging.

The Philips EPIQ and Affiniti Diagnostic Ultrasound Systems are advanced ultrasound machines that provide diagnostic imaging and fluid flow analysis for various body regions. They help clinicians visualize internal organs and blood flow in real time, assisting in the diagnosis and treatment of conditions related to the abdomen, heart, brain, musculoskeletal system, and more. The system also includes liver fat quantification tools to measure attenuation and hepato-renal index, supporting assessment of liver health.

Paige Prostate is an AI software device by Paige.AI designed to assist pathologists in detecting prostate cancer in digitized pathology slides from needle biopsies. It analyzes whole slide images scanned from H&E stained tissue samples and identifies areas most suspicious for cancer, helping pathologists to focus their review and improve diagnostic accuracy. It serves as an adjunct tool and supports clinicians in making more accurate prostate cancer diagnoses.

Intelligent NR is a software function integrated with Canon's CXDI Control Software that uses machine learning-based noise reduction to enhance the quality of digital X-ray images. It helps clinicians obtain clearer images from conventional radiographic exams, improving diagnostic confidence especially in trauma, intensive care, and pediatric settings.

Deep Learning Image Reconstruction by GE Healthcare is a software that uses deep neural networks to reconstruct high-quality CT images from X-ray transmission data. It helps radiologists by producing images with improved noise reduction, spatial resolution, and artifact suppression, suitable for head, whole body, cardiac, and vascular CT scans at routine clinical throughput.

HealthCCSng is a software device that automatically analyzes non-cardiac-gated CT scans to estimate the amount of calcified plaque in coronary arteries, which can indicate coronary artery disease risk. It provides radiologists with calcium detection categories and annotated images to aid in clinical decision-making within their usual workflow.

ClariSIGMAM is a software tool designed to automatically analyze digital mammograms to estimate breast density by calculating the ratio of fibroglandular tissue to the total breast area. It categorizes breast density using BI-RADS groups to assist radiologists in assessing breast tissue composition, providing adjunctive information to support interpretation but is not a diagnostic aid.