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

Research Infrastructures and Registries (97) Tools, Programs and Algorithms (549) Natural Language Processing (1208) Electronic Health Records (1632) Orthopedics (139) Secondary Use of Clinical Data for Research and Surveillance (599)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/64705, first published .
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Assessing Total Hip Arthroplasty Outcomes and Generating an Orthopedic Research Outcome Database via a Natural Language Processing Pipeline: Development and Validation Study

Assessing Total Hip Arthroplasty Outcomes and Generating an Orthopedic Research Outcome Database via a Natural Language Processing Pipeline: Development and Validation Study

Authors of this article:

Nicholas H Mast1 Author Orcid Image ;   Clara L. Oeste2 Author Orcid Image ;   Dries Hens2 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

Journals

  1. Descamps J, Draznieks G, Nizard R, Bouché P, Apard T. Real-world data on efficacy and safety of 1256 consecutive ultrasound-guided percutaneous carpal tunnel release. Journal of Plastic, Reconstructive & Aesthetic Surgery 2025;106:11 View
  2. Guo J, Li E, Zhao C, Xiao L, Xu P, Xu X. Optimizing Early Recovery Quality in Same-Day Discharge Total Hip Arthroplasty: A Narrative Review. Clinical Interventions in Aging 2026;Volume 21:1 View
  3. Byrne A, Cecere R, Buchalter W, Pachipala K, Neuwirth A, Shah R, Cooper H, Sarpong N. Artificial Intelligence in Total Hip and Knee Arthroplasty: A Primer on Current Applications, Algorithms, and Future Directions. JBJS Reviews 2026;14(6) View