Perspective on patient and non-academic partner engagement for the responsible integration of large language models in health chatbots

Abstract Uses of large language models (LLMs) in health chatbots are expanding into high-stakes clinical contexts, heightening the need for tools that are evidence-based, accountable, accurate, and patient-centred. This conceptual, practice-informed Perspective reflects on engaging patients and non-...

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Principais autores:	Nikhil Jaiswal, Yuanchao Ma, Bertrand Lebouché, Dan Poenaru, Marie-Pascale Pomey, Sofiane Achiche, David Lessard, Kim Engler, Zully Montiel, Hector Acevedo, Rodrigo Rosa Gameiro, Leo Anthony Celi, Esli Osmanlliu
Formato:	Artigo
Idioma:	Inglês
Publicado:	BMC 2025-12-01
Series:	Research Involvement and Engagement
Assuntos:	Artificial intelligence (AI) Large language models (LLMs) Chatbot Patient engagement Co-construction
Acceso en liña:	https://doi.org/10.1186/s40900-025-00804-1
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