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

VernacularTitle: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
Author: Jiaju WANG ¹ ; Qingda LU ; Chenxin LIU ; Huan WANG ; Huan'an BAI ; Yating YANG ; Qiang JIE
Author Information

1. 西安市红会医院小儿骨科，西安　710054
Publication Type:Journal Article
Keywords: Infant; Developmental dysplasia of the hip; Ultrasonography; Artificial intelligence
From: Chinese Journal of Orthopaedics 2025;45(2):119-125
CountryChina
Language:Chinese
Abstract: 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.