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

Emerging Technologies for Rehabilitation (492) New Methods (1758) Tools, Programs and Algorithms (571) Occupational Health and Ergonomics/Prevention at the Workplace (375) Generative Language Models Including ChatGPT (1443)

Published on in Vol 13 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/80607, first published .
Physical therapy progress report showing lower back, shoulder, and wrist recovery status.

Leveraging Large Language Models for Early Detection of Anomaly Work Injury Cases: Data-Driven Approach to Rehabilitation Efficiency

Leveraging Large Language Models for Early Detection of Anomaly Work Injury Cases: Data-Driven Approach to Rehabilitation Efficiency

Authors of this article:

Peter Q Chen1 Author Orcid Image ;   Hayley Y W Gu1 Author Orcid Image ;   Heidi K Y Lo2 Author Orcid Image ;   Wing Chung Chang2 Author Orcid Image ;   Cameron J M Lai3 ;   Sun H S Lai3 ;   Andy S K Cheng4 Author Orcid Image ;   Peter H F Ng1 Author Orcid Image
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Conference Proceedings

  1. M R K, K K S, B S, K V, S W. 2026 International Conference on Computer Networks and Inventive Communication Technologies (ICCNCT). AI-based Career Path Prediction and Skill Gap Analysis using Machine Learning and Large Language Models View