Artificial intelligence is on par with medical experts in diagnosing hip dysplasia in children — and can do it 30 times faster.

Those are the findings from new research conducted by Perth medical experts, and it could soon transform the diagnostic landscape for healthcare workers.

About one in 100 infants worldwide are affected by hip dysplasia, an instability of the hip or hip socket which can cause dislocation.

Delayed diagnosis can lead to chronic low-back pain, early degenerative joint disease or arthritis, which can lead to total hip replacement early in life.

University of Western Australia and Child and Adolescent Health Service researchers Chandra Rath and Suketu Bhavsar undertook a review of 23 studies that used AI to interpret more than 15,000 medical images of children f

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