Bias Sensitivity in Diagnostic Decision-Making: Comparing ChatGPT with Residents.

Journal: Journal of general internal medicine

PMID: 39511117

Abstract

BACKGROUND: Diagnostic errors, often due to biases in clinical reasoning, significantly affect patient care. While artificial intelligence chatbots like ChatGPT could help mitigate such biases, their potential susceptibility to biases is unknown.

Authors

Henk G Schmidt

Erasmus School of Social and Behavioural Sciences, Erasmus University Rotterdam, Mandeville Building, Room T15-10, P.O. Box 1738, Rotterdam, DR, 3000, The Netherlands.
Jerome I Rotgans

Karolinska Institutet, Solna, Sweden.
Silvia Mamede

Institute of Medical Education Research Rotterdam, Erasmus Medical Center, Institute of Medical Education Research Rotterdam, Dr. Molewaterplein 40, Na-2418, 3015 GD, Rotterdam, The Netherlands. s.mamede@erasmusmc.nl.

Keywords

Adult Artificial Intelligence Bias Clinical Competence Clinical Decision-Making Diagnostic Errors Female Generative Artificial Intelligence Humans Internship and Residency Male Netherlands

External Resources

View on PubMed Access via DOI PubMed (39511117)

Bias Sensitivity in Diagnostic Decision-Making: Comparing ChatGPT with Residents.

Abstract

Authors

Keywords

External Resources

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