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.

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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
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article

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

Clara L. Oeste, Dries Hens, Nicholas H. Mast
1 citations
JMIR Medical Informatics
Orthopaedic implants and arthroplasty
2.01
article

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

Clara L. Oeste, Dries Hens, Nicholas H. Mast
article en
1 citations

Abstract

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.

JMIR Medical InformaticsVol. 13
United States Institute of Peace (US)
Openalex Percentile: Top 18%
Orthopaedic implants and arthroplasty
2.01
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