Enhancing Medical Students’ Disease Detection Skills: Leveraging Artificial Intelligence Software for Diagnosing Developmental Dysplasia Using Ultrasound Imaging

Background

Ultrasound is the gold standard for the screening of developmental dysplasia of the hip (DDH). However, there are several problems in overcoming the learning curve of technical skills required to detect DDH using ultrasound. Thus, several attempts have been made to assist in the detection of DDH using artificial intelligence (AI) software (SW). This study aimed to evaluate the efficacy of AI in DDH ultrasound screening to aid medical students in the diagnosis of DDH.