Alexander Drost

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...