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

Design and Usability of Clinical Software and EHRs (491) Clinical Information and Decision Making (3905) Theoretical Frameworks and Concepts (592) Artificial Intelligence (5047)

Published on in Vol 13 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/89005, first published .
Doctor monitors cannabis patient data on screen showing emotion-adaptive LLM and symptom trends.

Emotion-Adaptive Large Language Model–Driven Clinical Decision Support: User Evaluation of the Empathic Clinical Decision Support System Framework for Trust and Explainability

Emotion-Adaptive Large Language Model–Driven Clinical Decision Support: User Evaluation of the Empathic Clinical Decision Support System Framework for Trust and Explainability

Authors of this article:

Tongze Zhang1 Author Orcid Image ;   Sang Won Bae1 Author Orcid Image ;   Tammy Chung2 Author Orcid Image ;   Anind K Dey3 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Bae S, Zhang T, Chung T, Dey A. Authors’ Reply: Empathy Cuts Both Ways in Clinical AI. JMIR Human Factors 2026;13:e110739 View
  2. Sorin V, Klang E. Empathy Cuts Both Ways in Clinical AI. JMIR Human Factors 2026;13:e108778 View