FDA Radiology AI Devices

FEops HEARTguide™ ALPACA is an AI-enabled medical imaging software system that helps clinicians visualize and measure detailed heart and vessel structures from CT images. It aids in planning minimally invasive heart procedures by providing automated segmentation, 3D visualization, measuring tools, and reporting. This software supports better procedural decisions by combining anatomical insights with clinical evaluation.

The SIS System is a software tool that uses advanced machine learning and image processing to help surgeons, neurologists, and radiologists visualize critical brain structures in 3D. It assists in planning neurological procedures such as Deep Brain Stimulation by creating detailed anatomical models from MRI images and localizing implanted leads on post-operative CT images, improving accuracy and surgical outcomes.

Ceevra Reveal 3 is a software medical device designed for processing, reviewing, and analyzing 3D images created from CT and MR scans. It helps clinicians with preoperative surgical planning and intraoperative image display, including interacting with 3D visualizations using mobile or desktop viewers, and even VR headsets. By using AI-driven algorithms, it generates preliminary segmentations of normal anatomical structures to assist healthcare professionals in their clinical decisions for adult patients.

Formus Hip is a preoperative planning software designed to assist orthopedic surgeons by automatically generating 3D models of the hip from CT scans and overlaying digital representations of hip implants. It uses AI algorithms for image segmentation and statistical shape modeling, helping clinicians plan hip replacement surgeries more effectively by customizing implant fitting interactively and producing printable surgical plans.

MPXA-2000 is a software tool intended for cardiologists and radiologists to automatically analyze X-ray angiographic images of the coronary arteries. It uses deep learning and computer vision algorithms to segment blood vessels, classify vessel types, quantify vessel dimensions, and support clinical decisions related to coronary artery disease. The software provides validated, reproducible quantitative results to aid in diagnosis and treatment evaluation, with results available for review and export.

Clarius AI is software integrated with the Clarius Ultrasound Scanner that uses artificial intelligence to semi-automatically measure tendon thickness on ultrasound images of musculoskeletal structures such as the Achilles’ tendon and patellar tendon. It helps healthcare professionals by segmenting ultrasound images and automatically placing measurement calipers, streamlining the quantification process while allowing manual adjustment by trained clinicians.

AVIEW is a medical imaging software by Coreline Soft that helps clinicians analyze CT scans of the lungs and heart. It automatically segments lung structures, characterizes lung nodules with detailed measurements, and provides calcium scoring of coronary arteries to assess cardiovascular risk. It integrates with AI-based CAD tools and offers cloud and mobile access, making it easier and faster for doctors to diagnose lung and heart conditions.

BrainInsight is an automated software that processes low-field MRI brain images to provide automatic labeling, spatial measurement, and volumetric quantification of brain structures. It produces annotated and segmented brain images with color overlays and detailed reports, helping clinicians assess brain anatomy and abnormalities efficiently, particularly using low-field MRIs.

The SIS System version 5.6.0 is a medical imaging software that helps surgeons, neurologists, and radiologists visualize specific brain structures in 3D to assist with planning neurological surgeries such as deep brain stimulation. It uses advanced image processing and machine learning techniques to create patient-specific anatomical models from MRI and CT images, improving precision during surgical interventions.

NS-HGlio is a software tool that assists clinicians in analyzing MRI images of patients with high-grade brain gliomas by automatically labeling and measuring tumor regions. It supports doctors by providing volumetric data and visual overlays to help monitor tumor progression or treatment response, but it is not intended for primary diagnosis.