Artificial intelligence in the diagnostic imaging of developmental dysplasia of the hip: a systematic review

Key Points

• To evaluate the effectiveness of AI technologies in improving the diagnostic capabilities for developmental dysplasia of the hip (DDH).
• Conducted a systematic review of existing literature on AI in diagnostic imaging for DDH.
• Analyzed variability and bias present in current AI studies.
• Assessed the potential for standardisation and validation of AI tools.
• AI shows promise in improving diagnostic accuracy for DDH.
• Significant variability and bias were identified across different studies.
• Need for further research to standardise AI methodologies and validate outcomes.

Abstract