This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (2803) Artificial Intelligence (1702) New Methods (1028) Clinical Information and Decision Making (1634) Health Services Research (520) Machine Learning (1718)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/42788, first published .
Predicting the Risk of Total Hip Replacement by Using A Deep Learning Algorithm on Plain Pelvic Radiographs: Diagnostic Study

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

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

Authors of this article:

Chih-Chi Chen1 Author Orcid Image ;   Cheng-Ta Wu2 Author Orcid Image ;   Carl P C Chen1 Author Orcid Image ;   Chia-Ying Chung1 Author Orcid Image ;   Shann-Ching Chen3 Author Orcid Image ;   Mel S Lee4 Author Orcid Image ;   Chi-Tung Cheng5 Author Orcid Image ;   Chien-Hung Liao5 Author Orcid Image
Article Authors Cited by (3) Tweetations (2) Metrics

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  2. Longo U, De Salvatore S, Piccolomini A, Ullman N, Salvatore G, D'Hooghe M, Saccomanno M, Samuelsson K, Papalia R, Pareek A. Revolutionizing total hip arthroplasty: The role of artificial intelligence and machine learning. Journal of Experimental Orthopaedics 2025;12(1) View
  3. Moon J, Jadhav P, Choi S. Deep learning analysis for rheumatologic imaging: current trends, future directions, and the role of human. Journal of Rheumatic Diseases 2025;32(2):73 View