Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/41430, first published .
Persuading Patients Using Rhetoric to Improve Artificial Intelligence Adoption: Experimental Study

Persuading Patients Using Rhetoric to Improve Artificial Intelligence Adoption: Experimental Study

Persuading Patients Using Rhetoric to Improve Artificial Intelligence Adoption: Experimental Study

Journals

  1. Sallam M, Salim N, Barakat M, Al-Mahzoum K, Al-Tammemi A, Malaeb D, Hallit R, Hallit S. Assessing Health Students' Attitudes and Usage of ChatGPT in Jordan: Validation Study. JMIR Medical Education 2023;9:e48254 View
  2. Sari P, Handayani P, Hidayanto A. Demographic Comparison of Information Security Behavior Toward Health Information System Protection: Survey Study. JMIR Formative Research 2023;7:e49439 View
  3. Zimbile F, Beek T, David S, Crutzen R. An Implementation Pilot of Web-Based Self-Training Programs on Sexual Dysfunctions in the Dutch Public Sexual Health Setting: Mixed Methods Study. JMIR Formative Research 2023;7:e49009 View
  4. Walker H, Ghani S, Kuemmerli C, Nebiker C, Müller B, Raptis D, Staubli S. Reliability of Medical Information Provided by ChatGPT: Assessment Against Clinical Guidelines and Patient Information Quality Instrument. Journal of Medical Internet Research 2023;25:e47479 View
  5. Anil Kumar Vaidhyam S, Huang K. Social Determinants of Health and Patients’ Technology Acceptance of Telehealth During the COVID-19 Pandemic: Pilot Survey. JMIR Human Factors 2023;10:e47982 View
  6. Young N, Ridgeway J, Haddad T, Harper S, Philpot L, Christopherson L, McColley S, Phillips S, Brown J, Zimmerman K, Ebbert J. Feasibility and Usability of a Mobile App–Based Interactive Care Plan for Migraine in a Community Neurology Practice: Development and Pilot Implementation Study. JMIR Formative Research 2023;7:e48372 View
  7. Fischer A, Mühlbacher A. Patient and Public Acceptance of Digital Technologies in Health Care: Protocol for a Discrete Choice Experiment. JMIR Research Protocols 2023;12:e46056 View
  8. Alqurashi H, Mohammed R, AlGhanmi A, Alanazi F. The Perception of Health Care Practitioners Regarding Telemedicine During COVID-19 in Saudi Arabia: Mixed Methods Study. JMIR Formative Research 2023;7:e47065 View
  9. Liverpool S, Eisenstadt M, Mulligan Smith A, Kozhevnikova S. An App to Support Fathers’ Mental Health and Well-Being: User-Centered Development Study. JMIR Formative Research 2023;7:e47968 View
  10. Nov O, Singh N, Mann D. Putting ChatGPT’s Medical Advice to the (Turing) Test: Survey Study. JMIR Medical Education 2023;9:e46939 View
  11. Zhang M, Scandiffio J, Younus S, Jeyakumar T, Karsan I, Charow R, Salhia M, Wiljer D. The Adoption of AI in Mental Health Care–Perspectives From Mental Health Professionals: Qualitative Descriptive Study. JMIR Formative Research 2023;7:e47847 View
  12. Khavandi S, Zaghloul F, Higham A, Lim E, de Pennington N, Celi L. Investigating the Impact of Automation on the Health Care Workforce Through Autonomous Telemedicine in the Cataract Pathway: Protocol for a Multicenter Study. JMIR Research Protocols 2023;12:e49374 View
  13. Shinn E, Garden A, Peterson S, Leupi D, Chen M, Blau R, Becerra L, Rafeedi T, Ramirez J, Rodriquez D, VanFossen F, Zehner S, Mercier P, Wang J, Hutcheson K, Hanna E, Lipomi D. Iterative Patient Testing of a Stimuli-Responsive Swallowing Activity Sensor to Promote Extended User Engagement During the First Year After Radiation: Multiphase Remote and In-Person Observational Cohort Study. JMIR Cancer 2024;10:e47359 View
  14. Choudhury A, Shamszare H. The Impact of Performance Expectancy, Workload, Risk, and Satisfaction on Trust in ChatGPT: Cross-sectional Survey Analysis (Preprint). JMIR Human Factors 2023 View
  15. Lorenzo-Luaces L, Wasil A, Kacmarek C, DeRubeis R. Race and Socioeconomic Status as Predictors of Willingness to Use Digital Mental Health Interventions or One-On-One Psychotherapy: National Survey Study. JMIR Formative Research 2024;8:e49780 View
  16. Rony M, Parvin M, Wahiduzzaman M, Debnath M, Bala S, Kayesh I. “I Wonder if my Years of Training and Expertise Will be Devalued by Machines”: Concerns About the Replacement of Medical Professionals by Artificial Intelligence. SAGE Open Nursing 2024;10 View
  17. Tremoulet P, Lobo A, Simmons C, Baliga G, Brady M. Assessing the Usability and Feasibility of Digital Assistant Tools for Direct Support Professionals: Participatory Design and Pilot-Testing. JMIR Human Factors 2024;11:e51612 View
  18. Chien S, Zaslavsky O, Berridge C. Technology Usability for People Living With Dementia: Concept Analysis. JMIR Aging 2024;7:e51987 View
  19. Ikram A, Mehmood H, Arshad M, Rasheed A, Noreen S, Gnedeka K. Applications of artificial intelligence (AI) in managing food quality and ensuring global food security. CyTA - Journal of Food 2024;22(1) View
  20. Xu J, Ren X, Huang Y, Wu R, Pan Y. Persist or Abandon? Exploring Chinese Users’ Continuance Intentions Toward AI Painting Tools. IEEE Access 2024;12:135469 View
  21. Martín-Moncunill D, García Laredo E, Carlos Nieves J. POTDAI: A Tool to Evaluate the Perceived Operational Trust Degree in Artificial Intelligence Systems. IEEE Access 2024;12:133097 View
  22. Liu F, Chang X, Zhu Q, Huang Y, Li Y, Wang H. Assessing clinical medicine students’ acceptance of large language model: based on technology acceptance model. BMC Medical Education 2024;24(1) View