This paper is in the following e-collection/theme issue:

RCTs - Protocols/Proposals (funded, already peer-reviewed, eHealth) (344) Web-based and Mobile Health Interventions (3092) Chatbots and Conversational Agents (458) HIV/AIDS/STI Prevention and Care (816) Artificial Intelligence (1186)

Published on in Vol 12 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48447, first published .
Evaluating an Innovative HIV Self-Testing Service With Web-Based, Real-Time Counseling Provided by an Artificial Intelligence Chatbot (HIVST-Chatbot) in Increasing HIV Self-Testing Use Among Chinese Men Who Have Sex With Men: Protocol for a Noninferiority Randomized Controlled Trial

Evaluating an Innovative HIV Self-Testing Service With Web-Based, Real-Time Counseling Provided by an Artificial Intelligence Chatbot (HIVST-Chatbot) in Increasing HIV Self-Testing Use Among Chinese Men Who Have Sex With Men: Protocol for a Noninferiority Randomized Controlled Trial

Evaluating an Innovative HIV Self-Testing Service With Web-Based, Real-Time Counseling Provided by an Artificial Intelligence Chatbot (HIVST-Chatbot) in Increasing HIV Self-Testing Use Among Chinese Men Who Have Sex With Men: Protocol for a Noninferiority Randomized Controlled Trial

Authors of this article:

Siyu Chen1 Author Orcid Image ;   Qingpeng Zhang2 Author Orcid Image ;   Chee-kit Chan3 Author Orcid Image ;   Fuk-yuen Yu1 Author Orcid Image ;   Andrew Chidgey3 Author Orcid Image ;   Yuan Fang4 Author Orcid Image ;   Phoenix K H Mo1 Author Orcid Image ;   Zixin Wang1 Author Orcid Image
Article Authors Cited by (8) Tweetations (3) Metrics

Journals

  1. Luo Q, Wu Z, Mi G, Xu J, Scott S. Using HIV Risk Self-Assessment Tools to Increase HIV Testing in Men Who Have Sex With Men in Beijing, China: App-Based Randomized Controlled Trial. Journal of Medical Internet Research 2023;25:e45262 View
  2. Luo R, Xie Z, Silenzio V, Kuang Y, Luo D. Gay App Use, Sexuality Traits, and High-Risk Sexual Behaviors Among Men Who Have Sex With Men in China: Mediation Analysis. Journal of Medical Internet Research 2023;25:e49137 View
  3. Bragazzi N, Crapanzano A, Converti M, Zerbetto R, Khamisy-Farah R. The Impact of Generative Conversational Artificial Intelligence on the Lesbian, Gay, Bisexual, Transgender, and Queer Community: Scoping Review. Journal of Medical Internet Research 2023;25:e52091 View
  4. Kanamori R, Umemura F, Uemura K, Miyagami T, Valenti S, Fukui N, Yuda M, Saita M, Mori H, Naito T. Web-Based Search Volume for HIV Tests and HIV-Testing Preferences During the COVID-19 Pandemic in Japan: Infodemiology Study. JMIR Formative Research 2024;8:e52306 View
  5. Chen S, Fang Y, Chan P, Kawuki J, Mo P, Wang Z. Counseling Supporting HIV Self-Testing and Linkage to Care Among Men Who Have Sex With Men: Systematic Review and Meta-Analysis. JMIR Public Health and Surveillance 2024;10:e45647 View
  6. Ni Y, Lu Y, Jing F, Wang Q, Xie Y, He X, Wu D, Tan R, Tucker J, Yan X, Ong J, Zhang Q, Jiang H, Dai W, Huang L, Mei W, Zhou Y, Tang W. A Machine Learning Model for Identifying Sexual Health Influencers to Promote the Secondary Distribution of HIV Self-Testing Among Gay, Bisexual, and Other Men Who Have Sex With Men in China: Quasi-Experimental Study. JMIR Public Health and Surveillance 2024;10:e50656 View
  7. Vilakati B, Yeatman S. Men’s perceptions of HIV self-testing in Eswatini: a qualitative study. AIDS Care 2024:1 View
  8. He L, Jiang T, Chen W, Jiang S, Zheng J, Chen W, Wang H, Ma Q, Chai C. Examining HIV Testing Coverage and Factors Influencing First-Time Testing Among Men Who Have Sex With Men in Zhejiang Province, China: Cross-Sectional Study Based on a Large Internet Survey. JMIR Public Health and Surveillance 2024;10:e56906 View