2023
DOI: 10.3390/bioengineering10040458
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The Feasibility and Performance of Total Hip Replacement Prediction Deep Learning Algorithm with Real World Data

Abstract: (1) Background: Hip degenerative disorder is a common geriatric disease is the main causes to lead to total hip replacement (THR). The surgical timing of THR is crucial for post-operative recovery. Deep learning (DL) algorithms can be used to detect anomalies in medical images and predict the need for THR. The real world data (RWD) were used to validate the artificial intelligence and DL algorithm in medicine but there was no previous study to prove its function in THR prediction. (2) Methods: We designed a se… Show more

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Cited by 3 publications
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