Development and feasibility testing of an AI-powered chatbot for early detection of caregiver burden: protocol for a mixed methods feasibility study

IntroductionCaregivers of patients with end-stage kidney disease (ESKD) face significant challenges that contribute to caregiver burden, negatively impacting their physical, psychological, social, and financial well-being. With the growing prevalence of chronic diseases and an aging population, ther...

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Hauptverfasser:	Ravi Shankar, Anjali Bundele, Amanda Yap, Amartya Mukhopadhyay
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Frontiers Media S.A. 2025-02-01
Schriftenreihe:	Frontiers in Psychiatry
Schlagworte:	caregiver burden artificial intelligence chatbot natural language processing chronic conditions feasibility study
Online-Zugang:	https://www.frontiersin.org/articles/10.3389/fpsyt.2025.1553494/full
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