FDA Radiology AI Devices

Navbit Rapid Surgical Plan is a software tool designed to assist surgeons in planning primary total hip replacement surgeries. It analyzes X-ray images of a patient's hip and spine to provide recommendations on the placement of hip replacement components, aiming to reduce complications. The software helps surgeons by offering data-driven guidance based on patient-specific anatomy and mobility.

The RemedyLogic AI MRI Lumbar Spine Reader is a software tool that automatically analyzes MRI images of the lumbar spine to identify and measure anatomical features. It helps radiologists and spine surgeons by providing quantitative measurements and image segmentations, which can improve the efficiency and accuracy of their analyses and reporting. Users review and adjust the software's outputs before finalizing diagnostic or treatment decisions.

The dS Wrist Coil 8ch 1.5T is a specialized MRI coil designed to produce high-quality diagnostic images of the wrist. It improves image clarity by using an 8-channel phased-array design for better signal reception, helping physicians accurately evaluate wrist conditions through MRI scans.

The dS Knee Coil 8ch 1.5T is an 8-channel phased array MRI coil designed for use with Philips 1.5T MRI systems to produce high-resolution diagnostic images of the knee. The coil's design improves signal-to-noise ratio and patient comfort, enabling accurate imaging of knee anatomy for clinical evaluation by trained physicians.

BriefCase-Triage is an AI-powered software designed to analyze CT scans of the cervical spine in adults, helping hospital networks and medical specialists by flagging potential fractures. It provides notifications and preview images of suspected cases, enabling faster prioritization of urgent findings to improve clinical workflow and patient care, while not altering original diagnostic images.

The SpineUs™ System by Verdure Imaging is a diagnostic ultrasound platform designed to help trained chiropractors and radiologists acquire, view, segment, and measure spinal ultrasound images. It uses AI technology to automatically segment vertebral bone structures and provides 3D reconstructions and quantitative measurements such as intervertebral angles and spine curvature, aiding clinical evaluation of the spine in both hospital and clinic settings.

MuscleView is an AI-powered software that automatically segments muscles and bones in MRI scans of the lower limbs. It calculates useful metrics such as muscle and bone volume, fat infiltration, and asymmetry to assist physicians in analyzing musculoskeletal health. The segmentations need to be reviewed and edited by trained clinicians. This tool helps improve the efficiency and accuracy of muscle and bone analysis from MRI images but is not intended for diagnostic use of diseases.

CINA-CSpine by Avicenna.AI is a radiological computer-assisted triage and notification software that uses AI algorithms to analyze cervical spine CT scans for suspected acute fractures. It helps hospital networks and trained physicians by flagging potential fracture cases and prioritizing image review, enabling faster and more efficient diagnosis and patient care. It operates alongside the standard care workflow without altering original images, providing notifications with preview images for informational purposes.

CoLumbo is a software tool that helps radiologists and spine surgeons analyze MRI images of the lumbar spine by automatically segmenting anatomical features and measuring spine structures. It identifies out-of-range measurements and assists users in documenting findings, streamlining the review and reporting process without making any medical diagnosis.

Rayvolve by AZmed SAS is an AI-powered software designed to assist radiologists and emergency physicians in detecting fractures from X-ray images of various musculoskeletal regions in adults and children aged 2 years and older. It enhances fracture diagnosis by automatically highlighting potential fractures on standard radiographic views, improving diagnostic accuracy and workflow efficiency.