Assessing Total Hip Arthroplasty Outcomes and Generating an Orthopedic Research Outcome Database via a Natural Language Processing Pipeline: Development and Validation Study
Algorithm evaluation of this dataset accurately represented key clinical information swiftly, compared with human reviewers. This technology may provide substantial value for future surgeon practice and patient counseling. Furthermore, the low early complication rate of direct anterior THA in this surgeon's hands was supported by the dataset, which included data from all treated patients in a multicenter practice.
Authors
- Clara L. Oeste (ORCID: https://orcid.org/0000-0002-7035-132X)
- Dries Hens (ORCID: https://orcid.org/0000-0002-6183-5007)
- Nicholas H. Mast
Institutions
- United States Institute of Peace (US)
Publication Details
- Journal
- JMIR Medical Informatics
- Published
- 2025-03-12
- DOI
- https://doi.org/10.2196/64705
- Citations
- 1
- Primary Topic
- Orthopaedic implants and arthroplasty
- Type
- article
- Field-Weighted Citation Impact
- 2.01