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Author

John Wickman

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Aug 2026

Can Large Language Models Preserve Diagnostic Accuracy Despite Patient Self-Diagnosis and Framing Bias in Hypothetical Upper-Extremity Scenarios?

In this experimental setting, an LLM identified simulated upper extremity conditions regardless of patient self-diagnosis, suggesting limited susceptibility to the anchoring, confirmation, and acquiescence biases known to affect human diagnostic reasoning.

Emily H. Jaarsma, David C. Ring, John Wickman et al. · 0 citations

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