A comparative study of the interpretation results of different artificial intelligence bone age assessment software
The study highlights the advanced predictive accuracy and reliability of the YIZHUN-TW3 and LIANYING-TW3 methods in bone age assessment. While the AIBAA-TW3 method showed strong predictive power, its consistent underestimation trend suggests a need for recalibration.
Authors
- Xu Shen (ORCID: https://orcid.org/0000-0002-6730-4354)
- Jinshui He
- Yugui Zhang (ORCID: https://orcid.org/0009-0002-5685-2408)
- Shaowei Li (ORCID: https://orcid.org/0000-0002-3374-1038)
- Shunyong Zheng
Institutions
- Fujian Medical University (CN)
- Zhangzhou Municipal Hospital of Fujian Province (CN)
Publication Details
- Journal
- Journal of Pediatric Endocrinology and Metabolism
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1515/jpem-2025-0142
- Primary Topic
- Forensic Anthropology and Bioarchaeology Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00