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

Natural Language Processing (860) Electronic Health Records (1258) Artificial Intelligence (1966) Machine Learning (1934) New Methods (1091) Tools, Programs and Algorithms (352) Decision Support for Health Professionals (1449) Methods and Instruments in Medical Informatics (177)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/52289, first published .
Mining Clinical Notes for Physical Rehabilitation Exercise Information: Natural Language Processing Algorithm Development and Validation Study

Mining Clinical Notes for Physical Rehabilitation Exercise Information: Natural Language Processing Algorithm Development and Validation Study

Mining Clinical Notes for Physical Rehabilitation Exercise Information: Natural Language Processing Algorithm Development and Validation Study

Authors of this article:

Sonish Sivarajkumar1 Author Orcid Image ;   Fengyi Gao2 Author Orcid Image ;   Parker Denny3 Author Orcid Image ;   Bayan Aldhahwani3, 4 Author Orcid Image ;   Shyam Visweswaran1, 5, 6 Author Orcid Image ;   Allyn Bove3 Author Orcid Image ;   Yanshan Wang1, 2, 5, 6 Author Orcid Image
Article Authors Cited by (9) Tweetations (5) Metrics

Journals

  1. Karthika M, Sreedharan J, Shevade M, Mathew C, Ray S. Artificial intelligence in respiratory care. Frontiers in Digital Health 2024;6 View
  2. ROSSETTINI G, PALESE A, CORRADI F, PILLASTRINI P, TUROLLA A, COOK C. Artificial intelligence chatbots in musculoskeletal rehabilitation: change is knocking at the door. Minerva Orthopedics 2025;75(6) View
  3. Chen Y, Zhang C, Bai R, Sun T, Ding W, Wang R. A review of medical text analysis: Theory and practice. Information Fusion 2025;119:103024 View
  4. Zaribafzadeh H, Henson J, Chan N, Rogers U, Webster W, Schappe T, Li F, Matsouaka R, Kirk A, Henao R, McElroy L. Development of a natural language processing algorithm to extract social determinants of health from clinician notes. American Journal of Transplantation 2025;25(6):1306 View
  5. Zaytseva T, Baraksanova K. Risk analysis of information security in medical rehabilitation centers: problems and outlook. A review. Bulletin of Rehabilitation Medicine 2025;24(1):112 View
  6. Cornelius J, Knitza J, Hack J, Pavlovic M, Kuhn S. Einsatzmöglichkeiten von Large Language Models in der Unfallchirurgie. Die Unfallchirurgie 2025;128(8):587 View
  7. Boltaboyeva A, Baigarayeva Z, Imanbek B, Ozhikenov K, Getahun A, Aidarova T, Karymsakova N. A Review of Innovative Medical Rehabilitation Systems with Scalable AI-Assisted Platforms for Sensor-Based Recovery Monitoring. Applied Sciences 2025;15(12):6840 View
  8. Zhu X, Dai W, Evans R, Geng X, Mu A, Liu Z. Current Landscape and Future Directions Regarding Generative Large Language Models in Stroke Care: Scoping Review. JMIR Medical Informatics 2025;13:e76636 View
  9. Lai X, Lai Y, Chen J, Huang S, Gao Q, Huang C. Evaluation Strategies for LLM-Based Models in Exercise and Health Coaching: A Scoping Review (Preprint). Journal of Medical Internet Research 2025 View