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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?

PURPOSE Online health queries are often addressed by large language models (LLMs) embedded in search engines. It is possible that LLMs, like human clinicians, might be misdirected by vague symptom descriptions or inaccurate self-diagnoses. We examined patient and scenario factors associated with an LLM's ability to ide...

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 Ring, Prakash Jayakumar · 0 citations

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