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

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
  10. Deodato M, Sabot R, Galmonte A, Palese A, Castellini G, Turolla A, Pillastrini P, Cook C, Rodeghiero L, Gianola S, Rossettini G. Knowledge, use and perceptions of artificial intelligence Chatbots among Italian physiotherapists: an online cross-sectional survey. Frontiers in Digital Health 2025;7 View
  11. French M, Schliep M, Beneciuk J, Juckett L, Kalpakjian C, Stern B, Cavanaugh R, Daley K, Dunlap P, Magel J, Oshita J, Rundell S, Zeleznik H, Resnik L. Advancing the Implementation of Patient-Centered Outcomes in Rehabilitation Learning Health Systems: Insights From the 2024 LeaRRn Summit. Archives of Physical Medicine and Rehabilitation 2025 View
  12. Kaster L, Hillis E, Oh I, Cordell E, Foraker R, Lai A, Morris S, Gutmann D, Payne P, Gupta A. Comparison of rule- and large language model-based phenotype extraction from clinical notes for neurofibromatosis type 1. Journal of the American Medical Informatics Association 2025 View