CompletedNANCT05335096

Developing an Artificial Intelligence (AI)-Based mHealth Intervention to Improve HIV Testing in Malaysia

Sponsor: Yale University

Trial Details

Condition	HIV Infections
Intervention	An AI-chatbot-based mHealth intervention; An attention-chatbot-based mHealth intervention; Educational materials
Phase	NA
Status	Completed
Participants	307
Est. Completion	29 May 2026
Last Updated	2 July 2026

Primary Outcome

Number of participants that get tested for HIV within 180 days

Eligibility Criteria

Inclusion Criteria

Inclusion Criteria: * Cis-gender male * condomless sex with men in the past 6 months * HIV status unknown or previously tested negative * speaks Bahasa Malaysia or English. Exclusion Criteria: * Does not have a smartphone * HIV status previously tested positive * cannot speak Bahasa Malaysia or English

Trial Sites

Countries

Malaysia

View Registry Entry

Related Analysis

Completed Trial: AI-Chatbot mHealth Intervention vs Standard Education for HIV Testing Uptake Among MSM in Malaysia — Key Findings for Clinicians

A completed Yale University-sponsored randomised trial has evaluated whether an AI-driven chatbot delivered via smartphone can increase HIV testing uptake among MSM in Malaysia compared to an attention-control chatbot and standard educational materials. With 307 participants enrolled and a 180-day testing endpoint, the findings are anticipated to inform digital HIV prevention strategies across Southeast Asia and beyond.

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