FDA Radiology AI Devices

The EFAI Bonesuite XR Bone Age Pro Assessment System (BAP-XR-100) is software that uses deep learning to analyze left-hand X-ray images in pediatric patients aged 2 to 16 years. It estimates bone age to assist pediatric radiologists in clinical decision-making. The system integrates with existing PACS workflows, providing bone age assessments to support but not replace radiologist interpretation.

Rho is a machine learning software that analyzes standard frontal x-rays of various body parts in patients aged 50 and older to identify possible low bone mineral density. It helps radiologists by generating reports suggesting patients who may benefit from further clinical bone health assessment, thereby assisting in early detection and management of bone health issues.

ABMD Software is an AI-powered application that measures bone mineral density from existing CT scans by analyzing the trabecular region of vertebral bones. It assists clinicians by providing retrospective assessment of bone density without the need for additional dedicated scans, thereby avoiding extra radiation exposure. It supports healthcare providers by offering BMD, Z-scores, and T-scores for evaluation, serving as a supplementary diagnostic tool rather than replacing standard DXA scans.