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)

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
  2. Shang Z, Chauhan V, Devi K, Patil S. Artificial Intelligence, the Digital Surgeon: Unravelling Its Emerging Footprint in Healthcare – The Narrative Review. Journal of Multidisciplinary Healthcare 2024;Volume 17:4011 View
  3. Ma Y, Achiche S, Tu G, Vicente S, Lessard D, Engler K, Lemire B, Laymouna M, de Pokomandy A, Cox J, Lebouché B. The first AI‐based Chatbot to promote HIV self‐management: A mixed methods usability study. HIV Medicine 2024 View
  4. Gogishvili M, Arora A, White T, Lazarus J. Recommendations for the equitable integration of digital health interventions across the HIV care cascade. Communications Medicine 2024;4(1) View