Clinical Research Directory

Automated Bone Age Estimation From Noncontrast Abdominal CT Using Deep Learning

Sponsor: Peking University People's Hospital

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.

Official title: Development and Evaluation of a Deep Learning-Based Model for Automated Osteoporosis Assessment Using CT Images

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