Predicting the Risk of Total Hip Replacement by Using A Deep Learning Algorithm on Plain Pelvic Radiographs: Diagnostic Study.

Chih-Chi Chen Cheng-Ta Wu Carl P C Chen Chia-Ying Chung Shann-Ching Chen Mel S Lee Chi-Tung Cheng Chien-Hung Liao

Published in: JMIR formative research (2023)

The proposed approach has demonstrated that SurgHipNet shows the ability and potential to provide efficient support in clinical decision-making; it can assist physicians in promptly determining the optimal timing for THR.

Keyphrases

total hip
deep learning
total knee arthroplasty
decision making
machine learning
primary care
artificial intelligence
rectal cancer