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

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.

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Publication Details

Journal
Frontiers in Psychiatry
Published
2025-02-28
DOI
https://doi.org/10.3389/fpsyt.2025.1553494
Citations
8
Primary Topic
Digital Mental Health Interventions
Type
article
Field-Weighted Citation Impact
12.35

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article

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

Amartya Mukhopadhyay, Anjali Bundele, Ravi Shankar, Amanda Yap
8 citations
Frontiers in Psychiatry
Digital Mental Health Interventions
12.35
article

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

Amartya Mukhopadhyay, Anjali Bundele, Ravi Shankar, Amanda Yap
article en
8 citations

Abstract

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.

Frontiers in PsychiatryVol. 16
Alexandra Hospital (SG), National University Hospital (SG)
National University of Singapore
Quality Education
Openalex Percentile: Top 1%
Digital Mental Health Interventions
12.35
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