AI Improves Infant Hip Dysplasia Screening for Faster, More Accurate Diagnosis

The Challenge of Current DDH Detection

Developmental Dysplasia of the Hip (DDH) affects the proper formation of the hip joint in infants. Early detection is vital to prevent long-term complications such as hip deformities or mobility issues. Screening is typically conducted at Child Health Care (CHC) centers using risk factors and physical exams. However, these methods often lack precision, resulting in a high number of unnecessary hospital referrals. In fact, studies show that six out of seven infants referred to hospitals do not have DDH, reflecting a diagnostic specificity of only 82 percent. This places an unnecessary strain on healthcare resources and causes avoidable stress for families.

AI-Assisted Ultrasound: A New Approach

Researchers from Radboudumc and JGZ Kennemerland have developed an AI-assisted ultrasound application to address these shortcomings. This technology allows CHC physicians to conduct hip screenings after just one hour of training. The AI application analyzes ultrasound images of infant hips to detect signs of DDH with improved accuracy. In recent studies, the diagnostic specificity increased to 92 percent, meaning fewer false positives and a significant reduction in unnecessary hospital referrals—cutting them by more than half. This approach streamlines the screening process while increasing confidence in the results.

Benefits and Future Impact

For infants, earlier and more precise detection of DDH means better treatment outcomes and less exposure to invasive procedures. Healthcare providers benefit from decreased workloads and reduced costs associated with unnecessary referrals. The AI tool also contributes to more efficient training for medical staff, enabling wider access to reliable hip screening in community health settings. Ardim, the spin-off company responsible for the technology, is currently working towards CE certification for clinical use. This indicates the application is nearing readiness for broader adoption and integration into routine infant care.

AI-assisted ultrasound presents a promising advancement in pediatric healthcare by simplifying infant hip dysplasia screening. It offers a path to better outcomes for patients and improved use of healthcare resources.