解放军医学杂志2025，Vol.50Issue(10)：1235-1242,8.DOI:10.11855/j.issn.0577-7402.0407.2025.0901
深度学习在股骨头坏死诊疗中的应用进展
Advances in the application of deep learning for the diagnosis and treatment of osteonecrosis of the femoral head
摘要
Abstract
With the rapid development of deep learning(DL)technology,its potential applications in the medical field have become increasingly prominent.As a refractory disease,osteonecrosis of the femoral head(ONFH)has certain limitations in traditional diagnostic and therapeutic approaches.The application of DL technology is expected to overcome these limitations and improve diagnosis and treatment outcomes.At present,the applications of DL models-including enhancing image clarity,improving diagnostic accuracy and efficiency,conducting prognostic evaluations,optimizing preoperative planning,assisting intraoperative imaging,and customizing personalized treatment plans-have fully demonstrated their tremendous potential in the diagnosis and treatment of ONFH.This review summarizes the current application status of DL in ONFH diagnosis and treatment,aiming to provide references and insights for future related research.关键词
股骨头坏死/深度学习/卷积神经网络Key words
femoral head necrosis/deep learning/convolutional neural network分类
临床医学引用本文复制引用
付佳豪,陈浩,席洪钟,刘成林,吴尧昆,刘锌,孙光权..深度学习在股骨头坏死诊疗中的应用进展[J].解放军医学杂志,2025,50(10):1235-1242,8.基金项目
This work was supported by the National Natural Science Foundation of China(82474342),the Jiangsu Provincial Administration of Traditional Chinese Medicine General Project(MS2023023),the China Youth Science and Technology Talent Lifting Project(2024-QNRC2-B18),and the Jiangsu Province Youth Science and Technology Talent Lifting Project(JSTJ-2024-098)国家自然科学基金(82474342) （82474342）
江苏省中医药管理局面上项目(MS2023023) （MS2023023）
中国青年人才托举工程(2024-QNRC2-B18) （2024-QNRC2-B18）
江苏省青年科技人才托举工程(JSTJ-2024-098) （JSTJ-2024-098）
