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The Biased Oracle: Assessing LLMs' Understandability and Empathy in Medical Diagnoses

arXiv — cs.CL•Tuesday, November 4, 2025 at 5:00:00 AM
NeutralArtificial Intelligence
A recent study evaluates the effectiveness of large language models (LLMs) in assisting clinicians with medical diagnoses. While these models show potential in generating explanations for patients, their ability to communicate in an understandable and empathetic manner is still in question. The research assesses two prominent LLMs using readability metrics and compares their empathy ratings to human evaluations. This is significant as it highlights the need for AI tools in healthcare to not only provide accurate information but also to connect with patients on a human level.
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