Validation of an AI-Powered Automated X-ray Bone Age Analyzer in Chinese Children and Adolescents: A Comparison with the Tanner-Whitehouse 3 Method.

Yan LiangXiaobo ChenRongxiu ZhengXinran ChengZhe SuXiumin WangHongwei DuMin ZhuGuimei LiYan ZhongShengquan ChengBaosheng YuYu YangRuimin ChenLanwei CuiHui YaoQiang GuChunxiu GongZhang JunXiaoyan HuangDeyun LiuXueqin YanHaiyan WeiYuwen LiHuifeng ZhangYanjie LiuFengyun WangGaixiu ZhangXin FanHongmei DaiXiaoping Luo

Published in: Advances in therapy (2024)

In this comprehensive validation study conducted in China, an AI-powered X-ray bone age analyzer showed accuracies that matched or exceeded those of doctor raters. This method may improve the efficiency of clinical routines by reducing reading time without compromising accuracy.

Keyphrases

bone mineral density
artificial intelligence
high resolution
dual energy
machine learning
soft tissue
deep learning
bone loss
bone regeneration
working memory
postmenopausal women
electron microscopy
magnetic resonance