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

Letters to the Editor (84) Generative Language Models Including ChatGPT (708) Artificial Intelligence (2129) Clinical Information and Decision Making (1915) Decision Support for Health Professionals (1539) Research Instruments, Questionnaires, and Tools (738) Machine Learning (2076) Simulation (164) Data Science (357) Chatbots and Conversational Agents (740) Validity, Reliability, and Bias (110) Theoretical Frameworks and Concepts (338) Case Report (10)

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 (1) 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