Accessibility settings

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

Formative Evaluation of Digital Health Interventions (3520) Natural Language Processing (975) Machine Learning (2269) E-Health / Health Services Research and New Models of Care (811) Computer-Aided Diagnosis (281) AI Language Models in Health Care (273)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/64536, first published .
Early Diagnosis of Knee Osteoarthritis With a Natural Language Processing–Driven Approach Based on Clinician Notes: Development and Validation Study

Early Diagnosis of Knee Osteoarthritis With a Natural Language Processing–Driven Approach Based on Clinician Notes: Development and Validation Study

Early Diagnosis of Knee Osteoarthritis With a Natural Language Processing–Driven Approach Based on Clinician Notes: Development and Validation Study

Authors of this article:

Narathip Thanyakunsajja1 Author Orcid Image ;   Kulsawasd Jitkajornwanich2 Author Orcid Image ;   Shan Xu2 Author Orcid Image ;   Donghee Shin2 Author Orcid Image ;   Pattama Charoenporn1 Author Orcid Image
Article Authors Cited by (2) Tweetations (1) Metrics

Journals

  1. Piotr Tryczyński , Jakub Wrona , Jakub Sałak , Piotr Helbin , Aleksandra Gralec , Sebastian Ożga , Wiktoria Donocik , Aleksandra Spirkowicz . ARTIFICIAL INTELLIGENCE IN THE EARLY DETECTION AND PROGRESSION PREDICTION OF OSTEOARTHRITIS: A NARRATIVE REVIEW OF CURRENT TECHNOLOGIES AND CLINICAL IMPLICATIONS. International Journal of Innovative Technologies in Social Science 2026;3(1(49)) View

Conference Proceedings

  1. Babu P, Yashwanth K, Anusha M, Rayudu U, Yarakaraju S, Babu N. 2026 6th International Conference on Expert Clouds and Applications (ICOECA). Hybrid Deep Learning and Metaheuristic Optimization for Multi-Class Knee Osteoarthritis X-ray Classification View