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Letters to the Editor (87) Clinical Information and Decision Making (2125) Research Instruments, Questionnaires, and Tools (800) Theoretical Frameworks and Concepts (396) Decision Support for Health Professionals (1674) Simulation (190) Machine Learning (2285) Chatbots and Conversational Agents (804) Artificial Intelligence (2432) Data Science (406) Case Report (11) Generative Language Models Including ChatGPT (868) Validity, Reliability, and Bias (119)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/69742, first published .
Advantages and Inconveniences of a Multi-Agent Large Language Model System to Mitigate Cognitive Biases in Diagnostic Challenges

Advantages and Inconveniences of a Multi-Agent Large Language Model System to Mitigate Cognitive Biases in Diagnostic Challenges

Advantages and Inconveniences of a Multi-Agent Large Language Model System to Mitigate Cognitive Biases in Diagnostic Challenges

Authors of this article:

Cedric Bousquet1, 2 Author Orcid Image ;   Divà Beltramin3 Author Orcid Image
Article Authors Cited by (2) Tweetations (1) Metrics

Journals

  1. Zheng X, Zou H, Wu L, Dong P, Yuan W, Chen Y. Large language model-driven agents in nursing practice: A scoping review. International Journal of Nursing Sciences 2025;12(6):532 View

Conference Proceedings

  1. Xie C, Zheng F, Deng L, Guo X. 2025 International Conference on Artificial Intelligence, Electrical and Electronic Engineering (AI3E). Research on Intelligent Verification of Transformer Carbon Footprint Based on Multi-Agent Large Language Models View