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Development and feasibility testing of an AI-powered chatbot for early detection of caregiver burden

Protocol for a mixed methods feasibility study

Bibliographic Data

ID15518095
AuthorsRavi Shankar (0009-0005-5578-3481, Alexandra Hospital, corresponding author), Anjali Bundele (0000-0003-1450-5467, Alexandra Hospital), Amanda Yap (Alexandra Hospital), Amartya Mukhopadhyay (0000-0002-9368-0935, National University Hospital)
Year2025
Volume16
Pages1553494-1553494
Publication date2025-02-28
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueFrontiers in Psychiatry (JOURNAL)
Journal identifiersISSN: 1664-0640 • E-ISSN: 1664-0640
PublisherFrontiers Media (PUBLISHER • CH)
DOI10.3389/fpsyt.2025.1553494
PMID40092466
OpenAlexW4408037309
LanguageEN
References cited13

The study has been approved by the NHG Domain Specific Review Board. Findings will be published in peer-reviewed journals, presented at conferences, and used to inform the development of larger-scale trials of AI-powered caregiver support interventions

Alternative medicine · Baseline (sea · Caregiver burden · Chatbot · Disease · Environmental health · Population · Protocol (science · Computer Science · Dementia and Cognitive Impairment Research · Digital Mental Health Interventions · Machine Learning in Healthcare · Medicine · Artificial Intelligence

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  • An Empathy-Driven, Conversational Artificial Intelligence Agent (Wysa) for Digital Mental Well-Being

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  • Delivering Cognitive Behavior Therapy to Young Adults With Symptoms of Depression and Anxiety Using a Fully Automated Conversational Agent (Woebot)

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