# NIH Reporter #1R21HD120876-01A1

Enhanced detection of anomaly in bone age X-ray for diagnosis of childhood growth disorder

**Recipient:** CHILDREN'S RESEARCH INSTITUTE

**Award Amount:** $500,500.00
**Ceiling:** $500,500.00

**Awarded:** September 16, 2026

**Identifier:** 1R21HD120876-01A1

Development of an AI-based tool to detect bone age anomalies in X-rays to improve diagnosis of childhood growth disorders and discover novel genetic causes.

### Description

The project aims to develop a novel artificial intelligence-based bone age anomaly detector (BAAD) to standardize screening and detection of bone age anomalies in left hand X-rays, and to identify novel genetic causes of growth disorders based on shared rare and unique bone age anomalies in unrelated patients. The approach involves improving BAAD with self-supervised deep learning methods, characterizing all bone age anomalies, and linking anomalies to diagnoses.

[View original record](https://reporter.nih.gov/search/IgE1H2ioLUOz0qmA4MDg0Q/project-details/11454606)