Artificial intelligence to support ultrasound in the detection of developmental dysplasia of the hip
AI-based assistance for ultrasound detection of DDH shows promise, but the evidence base is incomplete. Future research should focus on standardizing development processes, improving transparency in study reporting, considering the varied perspectives of multidisciplinary teams, and prioritize comprehensive health economic evaluations. Addressing these challenges will be critical for successful development and integration of AI into this area of clinical practice.
Authors
- James Simeon Bowness (ORCID: https://orcid.org/0000-0002-8665-1984)
- Rusul Yonis
- Natalie Hall
- Daniel C. Perry
- Mohammed Khattak
- Laurence Still
Institutions
- University College London Hospitals NHS Foundation Trust (GB)
- University of Liverpool (GB)
- Alder Hey Children's NHS Foundation Trust (GB)
- Alder Hey Children's Hospital (GB)
- Oldham Council (GB)
- University College London (GB)
Publication Details
- Journal
- Bone & Joint Open
- Published
- 2026-02-16
- DOI
- https://doi.org/10.1302/2633-1462.72.bjo-2025-0029.r1
- Primary Topic
- Hip disorders and treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00