Evaluating the o1 reasoning large language model for cognitive bias: a vignette study.

ABSTRACT: Cognitive biases, systematic deviations from logical judgment, are well documented in clinical decision-making, particularly in clinical settings characterized by high decision load, limited time, and diagnostic uncertainty-such as critical care. Prior work demonstrated that large language models, particularly GPT-4, reproduce many of these biases, sometimes to a greater extent than human clinicians. We tested whether the o1 model (o1-2024-12-17), a newly released AI system with enhanced reasoning capabilities, is susceptible to cognitive biases that commonly affect medical decision-making. Following the methodology established by Wang and Redelmeier [15], we used ten pairs of clinical scenarios, each designed to test a specific cognitive bias known to influence clinicians. Each scenario h

SUBMITTER: Degany O 

PROVIDER: S-EPMC12372181 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature