FDA Radiology AI Devices

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.

BoneMRI v1.4 is an image processing software that analyzes 3D gradient echo MRI scans to enhance visualization of bone structures in the pelvic and lumbar spine regions. It uses a convolutional neural network algorithm to generate images with improved bone contrast compared to surrounding soft tissue, helping clinicians better assess bone morphology and density without the need for CT scans. It is intended for use by radiologists and orthopedic surgeons to aid in image interpretation, but not for tumor diagnosis.

AI-Rad Companion (Musculoskeletal) is an AI-powered software that analyzes previously acquired CT images to assist radiologists and physicians in evaluating musculoskeletal diseases. It segments, labels vertebrae, measures vertebral heights, and computes mean Hounsfield values to provide detailed quantitative and qualitative analysis, improving assessment and workflow efficiency for clinicians.

Spine CAMP™ is a fully-automated software that analyzes X-ray images of the spine to measure and assess spinal parameters, such as alignment, stability, and motion. It helps healthcare professionals by providing quantitative metrics and visualizations, improving clinical decision-making regarding spinal health and treatments.

Customize is a prescription-use software tool designed to assist clinicians in planning ankle arthroplasty surgeries. It uses CT and X-ray images to generate 3D models and helps visualize and modify surgical treatment plans. The software incorporates AI to segment anatomical structures, improving preoperative planning and communication of treatment options.

CoLumbo is a medical imaging AI software tool designed to assist radiologists and spine surgeons by automatically segmenting and measuring lumbar spine features from MRI images. It highlights out-of-range measurements and generates reports for review and approval by clinicians, improving the efficiency and consistency of lumbar spine evaluation, but does not provide diagnosis.