Personalizing communication with the patient: large language models

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Analysis reveals potential for large language models to improve patient communication and shared decision-making.

Large language models enhance doctor-patient interactions, translating complex terminology into understandable language.
Applications include monitoring chronic diseases and supporting adherence to drug therapy, improving patient outcomes.
Challenges include accuracy issues, data bias, and ethical concerns surrounding data privacy in LLM use.
Interdisciplinary collaboration is crucial for creating regulatory frameworks to safely implement LLM technologies.

Kostrov et al. (2025) studied this question.

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