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Does a deep learning system improve the diagnosis of developmental dysplasia of the hip in children compared to clinician-led diagnoses?
Does a deep learning system improve the diagnosis of developmental dysplasia of the hip in children compared to clinician-led diagnoses?
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A deep learning system provides more consistent and effective diagnosis of developmental dysplasia of the hip from pelvic radiographs compared to clinicians.
The deep learning system was highly consistent, more convenient, and more effective for diagnosing DDH compared with clinician-led diagnoses. Deep learning systems should be considered for analysis of anteroposterior pelvic radiographs when diagnosing DDH. The deep learning system will improve the current artificially complicated screening referral process. Cite this article: Bone Joint J 2020;102-B(11):1574-1581.
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Zhang et al. (2020) studied this question.
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