Published on in Vol 24, No 9 (2022): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/35556, first published .
Chatbots for Smoking Cessation: Scoping Review

Chatbots for Smoking Cessation: Scoping Review

Chatbots for Smoking Cessation: Scoping Review

Authors of this article:

Robyn Whittaker1, 2 Author Orcid Image ;   Rosie Dobson1 Author Orcid Image ;   Katie Garner1 Author Orcid Image

Journals

  1. Chun-Hung L, Guan-Hsiung L, Wu-Chuan Y, Yu-Hsin L. Chatbot-assisted therapy for patients with methamphetamine use disorder: a preliminary randomized controlled trial. Frontiers in Psychiatry 2023;14 View
  2. Bendotti H, Ireland D, Lawler S, Oates D, Gartner C, Marshall H. Introducing Quin: The Design and Development of a Prototype Chatbot to Support Smoking Cessation. Nicotine and Tobacco Research 2024;26(5):612 View
  3. Bendotti H, Lawler S, Chan G, Gartner C, Ireland D, Marshall H. Conversational artificial intelligence interventions to support smoking cessation: A systematic review and meta-analysis. DIGITAL HEALTH 2023;9 View
  4. Yang H, Wang F, Greenblatt M, Huang S, Zhang Y. AI Chatbots in Clinical Laboratory Medicine: Foundations and Trends. Clinical Chemistry 2023;69(11):1238 View
  5. Kiuchi K, Otsu K, Hayashi Y. Psychological insights into the research and practice of embodied conversational agents, chatbots and social assistive robots: a systematic meta-review. Behaviour & Information Technology 2023:1 View
  6. Arnold V, Purnat T, Marten R, Pattison A, Gouda H. Chatbots and COVID-19: Taking Stock of the Lessons Learned. Journal of Medical Internet Research 2024;26:e54840 View
  7. McDaid L, Belderson P, Emery J, Coleman T, Leonardi-Bee J, Naughton F, Ayatollahi H. Experts’ views on translating NHS support to stop smoking in pregnancy into a comprehensive digital intervention. PLOS Digital Health 2024;3(3):e0000472 View
  8. Bricker J, Sullivan B, Mull K, Santiago-Torres M, Lavista Ferres J. Conversational Chatbot for Cigarette Smoking Cessation: Report of the User-Centered Design Eleven Step Development Process (Preprint). JMIR mHealth and uHealth 2024 View
  9. Abid A, Baxter S. Breaking Barriers in Behavioral Change: The Potential of Artificial Intelligence-Driven Motivational Interviewing. Journal of Glaucoma 2024;33(7):473 View