Automated Bone Age Estimation From Noncontrast Abdominal CT Using Deep Learning

This study is a retrospective analysis that uses abdominal CT scans, which were originally taken for other medical reasons, to estimate bone age. By applying advanced deep learning methods, the investigators aim to develop a tool that can evaluate bone health and detect early signs of osteoporosis without requiring additional scans or radiation. This approach may help doctors better understand bone aging, improve screening for bone weakness, and provide patients with more personalized information about their bone health.

NCT Number	NCT07162168
Lead Sponsor	Peking University People's Hospital
Conditions	Bone Aging, Osteoporosis Diagnosis
Enrollment	3,000 participants
Start Date	2024-09-01
Primary Completion	2027-09-01 (estimated)
Study Completion	2027-12-01 (estimated)
Updated on ClinicalTrials.gov	2025-12-03