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Impact of Patient Communication Style on Agentic AI-Generated Clinical Advice in E-Medicine
0
Zitationen
8
Autoren
2025
Jahr
Abstract
Agentic LLMs treated patient tone as clinical input, altering triage, follow-up, prescribing, and sick-leave decisions despite identical symptoms. These tone-sensitive shifts may introduce hidden biases, affect resource use, and enable misuse in E-medicine workflows.
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