传统与人工智能辅助超声诊断0~6月龄婴儿发育性髋关节发育不良的研究进展与争议  

Research progress and controversy of traditional and artificial intelligence-assisted ultrasound in diagnosing DDH in children aged 0-6 months

作　　者：王家驹 陆清达 刘趁心 王欢 白桓安 杨亚婷 颉强 Wang Jiaju;Lu Qingda;Liu Chenxin;Wang Huan;Bai Huan'an;Yang Yating;Jie Qiang(Department of Pediatric Orthopedics,Xi'an Honghui Hospital,Xi'an 710054,China;Graduate School of the School of Clinical Medicine,Yan'an University School of Medicine,Yan'an 716000,China)

机构地区：[1]西安市红会医院小儿骨科,西安710054 [2]延安大学医学院临床医学院研究生院,延安716000

出　　处：《中华骨科杂志》2025年第2期119-125,共7页Chinese Journal of Orthopaedics

基　　金：国家自然科学基金(82272442);陕西省儿童骨骼畸形与损伤疾病临床医学研究中心(2024SF-LCZX-16);陕西省重点研发计划-重点产业链(群)-社会发展领域(2021ZDLSF02-11);陕西省卫生健康科研创新能力提升计划平台建设项目(2024PT-12)。

摘　　要：儿童发育性髋关节发育不良(developmental dysplasia of the hip,DDH)是儿童期最常见的一种骨发育异常疾病。如何实现早期、规范、精准地筛查与治疗是该领域关注的重点。介绍0~6月龄婴儿发育性髋关节发育不良的传统超声诊断方式与目前人工智能辅助超声诊断技术的最新进展,比较两者之间的区别,探究新技术目前所存在的争议。发现目前人工智能辅助超声诊断技术在诊断的准确性与效率上明显优于传统超声检测方式,但也存在过度诊疗等不足。人工智能辅助超声诊断技术潜力巨大,随着科技的发展,会被越来越多的医生接受,更好地服务于临床。Developmental dysplasia of the hip(DDH)is the most common bone developmental disorder in children,emphasizing the need for effective,standardized,and accurate screening and treatment approaches.This paper reviews traditional ultrasound diagnostic methods for DDH in children aged 0-6 months and examines the latest advancements in artificial intelligence(AI)-assisted ultrasound technology.It compares the diagnostic accuracy,efficiency,and limitations of these approaches while addressing controversies surrounding the adoption of AI.Results indicate that AI-assisted ultrasound significantly outperforms traditional methods in both accuracy and efficiency but also raises concerns about over-diagnosis and over-treatment.Despite these challenges,AI-assisted ultrasound holds immense potential,and with technological advancements,it is expected to gain wider acceptance among clinicians,enhancing its application in clinical practice.

关 键 词：婴儿 发育性髋关节发育不良 超声检查 人工智能 

分 类 号：R44[医药卫生—诊断学]