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Author

David C. Ring

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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
Open access Mar 2026

Can Large Language Models Identify When an Upper Extremity Problem Needs Nonurgent Attention? An Assessment of Multiple LLM Chatbots

The finding that LLMs can distinguish urgent from nonurgent upper extremity conditions suggests that artificial intelligence tools could help reduce unnecessary use of high-cost emergency services, allowing those resources to be reserved for patients who require timely care.

Jefferson Hunter, David C. Ring, Prakash Jayakumar · 0 citations

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