FDA Radiology AI Devices

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.

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.

Customize is a software tool designed to assist physicians in planning shoulder arthroplasties by visualizing, modifying, and validating 3D models generated from CT scans. It helps communicate treatment options, segments CT data, and manages cases and timelines, aiding clinicians in surgical preparation and decision-making.

Preview Shoulder is a pre-operative planning software that helps orthopedic surgeons develop shoulder surgery plans by processing patient CT scans. The software reconstructs 3D models of the shoulder anatomy, allowing surgeons to digitally place implants and generate detailed surgical planning reports, thus aiding surgical preparation without providing diagnostic decisions.

MEDO ARIA is a cloud-based medical imaging software that uses machine learning to help clinicians view, quantify, and generate reports from ultrasound images of infant hips. It supports diagnosis of developmental hip dysplasia (DDH) in newborns and infants up to 12 months, assisting radiologists by automating some image analysis tasks and improving workflow efficiency.