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

Non-randomized Protocols and Methods (ehealth) (542) Human Factors and Usability Case Studies (748) Chatbots and Conversational Agents (473) Machine Learning (1401)

Published on in Vol 13 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54668, first published .
Adapting and Evaluating an AI-Based Chatbot Through Patient and Stakeholder Engagement to Provide Information for Different Health Conditions: Master Protocol for an Adaptive Platform Trial (the MARVIN Chatbots Study)

Adapting and Evaluating an AI-Based Chatbot Through Patient and Stakeholder Engagement to Provide Information for Different Health Conditions: Master Protocol for an Adaptive Platform Trial (the MARVIN Chatbots Study)

Adapting and Evaluating an AI-Based Chatbot Through Patient and Stakeholder Engagement to Provide Information for Different Health Conditions: Master Protocol for an Adaptive Platform Trial (the MARVIN Chatbots Study)

Authors of this article:

Yuanchao Ma1, 2, 3, 4 Author Orcid Image ;   Sofiane Achiche1 Author Orcid Image ;   Marie-Pascale Pomey5, 6, 7 Author Orcid Image ;   Jesseca Paquette5 Author Orcid Image ;   Nesrine Adjtoutah5, 6 Author Orcid Image ;   Serge Vicente2, 3, 8, 9 Author Orcid Image ;   Kim Engler2, 3 Author Orcid Image ;   MARVIN chatbots MARVIN chatbots Patient Expert Committee2, 10 ;   Moustafa Laymouna2, 3, 8 Author Orcid Image ;   David Lessard2, 3, 4 Author Orcid Image ;   Benoît Lemire4 Author Orcid Image ;   Jamil Asselah11 Author Orcid Image ;   Rachel Therrien5 Author Orcid Image ;   Esli Osmanlliu2, 12 Author Orcid Image ;   Ma'n H Zawati13 Author Orcid Image ;   Yann Joly13 Author Orcid Image ;   Bertrand Lebouché2, 3, 4, 8 Author Orcid Image
Article Authors Cited by (1) Tweetations (4) Metrics

Journals

  1. Harnik M, Scheidegger A, Blättler L, Nemecek Z, Sauter T, Limacher A, Reisig F, grosse Holtforth M, Streitberger K. Acceptance, Satisfaction, and Preference With Telemedicine During the COVID-19 Pandemic in 2021-2022: Survey Among Patients With Chronic Pain. JMIR Formative Research 2024;8:e53154 View