What this means
Researchers plan to use computer learning on old belly scans to judge bone age. This study has not reported results, so we do not yet know if it works.
Plain-English summary written by an AI model from the registry listing.
- Status
- Recruiting
- Who can join
- Ages 18 and over
- Where
- 1 site
The science
- Registered title
- Automated Bone Age Estimation From Noncontrast Abdominal CT Using Deep Learning
- Trial ID
- NCT07162168 ↗
- Phase
- Not applicable
- Study type
- observational
- Conditions
- Bone Aging, Osteoporosis Diagnosis
- Sponsor
- Peking University People's Hospital
- Ages
- 18 Years to no maximum
- Dates
- First posted Sep 9, 2025 · updated Dec 3, 2025
Registry summary
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.
Sites (1)
- CT machine, Beijing, China