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Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46857, first published .
Natural Language Processing of Referral Letters for Machine Learning–Based Triaging of Patients With Low Back Pain to the Most Appropriate Intervention: Retrospective Study

Natural Language Processing of Referral Letters for Machine Learning–Based Triaging of Patients With Low Back Pain to the Most Appropriate Intervention: Retrospective Study

Natural Language Processing of Referral Letters for Machine Learning–Based Triaging of Patients With Low Back Pain to the Most Appropriate Intervention: Retrospective Study

Journals

  1. Wang P, Zhang Z, Xie Z, Liu L, Ren G, Guo Z, Xu L, Yin X, Hu Y, Wang Y, Wu X. Natural Language Processing-Driven Artificial Intelligence Models for the Diagnosis of Lumbar Disc Herniation with L5 and S1 Radiculopathy: A Preliminary Evaluation. World Neurosurgery 2024;189:e300 View
  2. Fischer S, Hawley S, Bains A, Carter T. User-Centred Design to Inform Requirements for a Remotely Administered Hybrid Functional Test (RAHFT) Protocol. Journal of Occupational Rehabilitation 2025;35(4):899 View
  3. Maarseveen T, Glas H, Veris-van Dieren J, van den Akker E, Knevel R. Improving musculoskeletal care with AI enhanced triage through data driven screening of referral letters. npj Digital Medicine 2025;8(1) View
  4. Kraft van Ermel L, Noordman J, Brinkkemper S, Schoon Y, van Dulmen S. Methods for investigating electronic health records and patient-provider interaction: A scoping review. International Journal of Medical Informatics 2026;205:106106 View
  5. Lee Qiyu M, Horsaengchai W, Horsaengchai P, Malik Q. Artificial intelligence in clinical allergy practice: current status, challenges, and future directions. Exploration of Asthma & Allergy 2025;3 View
  6. Plummer M, Calvello Hynes E, Fogarty J, Toro Polanco N, Reynolds T. Optimizing people’s movement across the health system: a scoping review of referral systems within a primary health care approach. Primary Health Care Research & Development 2025;26 View
  7. Alili A, McKane A, Demir M, Emory C, Gurcan M. SHIELD: An AI Framework for Skeletal Health Intelligence and Early Lesion Detection to Improve Orthopedic Referrals. Journal of Medical Systems 2026;50(1) View
  8. Fung A, Abdalla M, Cheng Y, Elsayed M, Chojecki D, Mitchell J, Ye C. Systematic literature review and narrative synthesis of the use of natural language processing to triage outpatient referrals. Frontiers in Health Services 2026;6 View

Conference Proceedings

  1. Basha S, Geetha R. 3RD INTERNATIONAL CONFERENCE ON ENGINEERING AND SCIENCE TO ACHIEVE THE SUSTAINABLE DEVELOPMENT GOALS. Optimizing gestational diabetes prediction by comparing cubic k-nearest neighbors with boosted tree View