MobiHealth News April 12, 2022
A study published in the Lancet found a deep learning model trained to detect a certain type of hip fractures outperformed radiologists, but further testing found potential barriers to safe use.
An artificial intelligence algorithm used to detect hip fractures outperformed human radiologists, but researchers found mistakes that would prevent safe use upon further testing, according to a study published in The Lancet.
Researchers evaluated a deep learning model that aimed to find proximal femoral fractures in frontal X-rays in emergency department patients, which was trained on data from the Royal Adelaide Hospital in Australia.
They compared the model’s accuracy against five radiologists on a dataset also from the Royal Adelaide Hospital, and then performed an external validation study using...
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