FDA Radiology AI Devices

Spine Auto Views is a software tool that automatically processes CT images of the spine to create anatomically focused reformatted views and labels vertebrae and disc spaces, facilitating quick and consistent review for clinicians. It utilizes deep learning algorithms to generate multiple reformatted image planes without user interaction and exports the results automatically for radiologist reading.

Spine CAMP™ (1.1) is an automated software that analyzes X-ray images of the lumbar and cervical spine to generate measurements and visualizations of spinal alignment, stability, degeneration, and motion. It supports healthcare professionals in clinical decisions related to spinal health by producing detailed reports from radiographic data.

Axial3D Insight is a cloud-based service that processes medical imaging DICOM data to create detailed 3D digital files or physical 3D printed models. These models assist clinicians in treatment planning and diagnosis across orthopedic trauma, maxillofacial, and cardiovascular applications, improving surgical preparation and outcomes.

IB Lab LAMA is a software tool that automatically analyzes full leg X-rays to measure discrepancies in limb length and assess knee alignment. It uses AI deep learning technology to provide precise geometric measurements to assist healthcare professionals in evaluating leg deformities and alignment issues, thereby supporting diagnosis and treatment planning.

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.

RadioLens v1.0 by Synapsica is a medical image management and processing system that allows radiologists and medical practitioners to view, analyze, and report on DICOM-format radiology images. The software includes an AI module called SpindleX for automated analysis and measurement of spinal ligament injuries in digital stress X-rays of the cervical and lumbar spine. This helps clinicians by providing quantitative measurements and detailed reports, enhancing diagnostic accuracy and efficiency in spinal injury assessment.

Spectral Bone Marrow is an automated deep learning-based software designed for spectral CT images of the body and extremities. It segments bone regions and creates enhanced, color-coded images to help radiologists better visualize bone marrow. This assists in diagnosing traumatic and non-traumatic bone conditions more efficiently by providing improved image visualization and an automated clinical workflow.

BoneView 1.1-US is an AI-powered software designed to assist clinicians by analyzing X-ray radiographs to identify and highlight fractures. It works as a concurrent reading aid, helping improve the accuracy and speed of fracture diagnosis across multiple anatomical regions including limbs, pelvis, ribs, and spine for both adults and pediatric patients. The software integrates seamlessly with imaging systems like PACS and can be deployed on-premise or in the cloud, enhancing radiologists' ability to detect subtle and definite fractures.

BoneMRI v1.6 is an AI-powered software that enhances MRI images to improve visualization of bone structures in the pelvic and lumbar spine regions. It uses advanced algorithms, including convolutional neural networks, to generate 3D images with enhanced bone contrast. This allows clinicians such as radiologists and orthopedic surgeons to better assess bone morphology and tissue density without the need for CT scans, improving diagnostic capabilities in these regions.

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.