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

Letters to the Editor (87) Chatbots and Conversational Agents (804) Artificial Intelligence (2436) Generative Language Models Including ChatGPT (871)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/65527, first published .
Considerations and Challenges in the Application of Large Language Models for Patient Complaint Resolution

Considerations and Challenges in the Application of Large Language Models for Patient Complaint Resolution

Considerations and Challenges in the Application of Large Language Models for Patient Complaint Resolution

Authors of this article:

Bin Wei1 Author Orcid Image ;   Xin Hu1 Author Orcid Image ;   XiaoRong Wu1 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

Journals

  1. Wei B, Yao L, Hu X, Hu Y, Rao J, Ji Y, Dong Z, Duan Y, Wu X. Evaluating the Effectiveness of Large Language Models in Providing Patient Education for Chinese Patients With Ocular Myasthenia Gravis: Mixed Methods Study. Journal of Medical Internet Research 2025;27:e67883 View
  2. Asif S, Hadi F, Qurrat-ul-ain , Yan Y, Wang V, Xu D. The impact of large language models on medical research and patient care: A systematic review of current trends, challenges, and future innovations. Computer Science Review 2026;59:100847 View
  3. Bahbib M, Yakhlef M, Tamym L. A multi-level classification model for patients’ medical questions using pretrained transformers, graph attention networks and bidirectional LSTMs. Egyptian Informatics Journal 2026;34:100979 View