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

Non-randomized Protocols and Methods (ehealth) (568) Artificial Intelligence (1371) Adoption and Change Management of eHealth Systems (712) eHealth Infrastructures (345) Economic Evaluations of mHealth Programs and Infrastructures (35) E-Health Policy and Health Systems Innovation (230)

Published on in Vol 10, No 10 (2021): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30940, first published .
Accelerating the Appropriate Adoption of Artificial Intelligence in Health Care: Protocol for a Multistepped Approach

Accelerating the Appropriate Adoption of Artificial Intelligence in Health Care: Protocol for a Multistepped Approach

Accelerating the Appropriate Adoption of Artificial Intelligence in Health Care: Protocol for a Multistepped Approach

Authors of this article:

David Wiljer1, 2, 3, 4 Author Orcid Image ;   Mohammad Salhia5 Author Orcid Image ;   Elham Dolatabadi6 Author Orcid Image ;   Azra Dhalla6 Author Orcid Image ;   Caitlin Gillan1 Author Orcid Image ;   Dalia Al-Mouaswas5 Author Orcid Image ;   Ethan Jackson6 Author Orcid Image ;   Jacqueline Waldorf5 Author Orcid Image ;   Jane Mattson5 Author Orcid Image ;   Megan Clare5 Author Orcid Image ;   Nadim Lalani6 Author Orcid Image ;   Rebecca Charow1, 2 Author Orcid Image ;   Sarmini Balakumar2, 5 Author Orcid Image ;   Sarah Younus1 Author Orcid Image ;   Tharshini Jeyakumar1 Author Orcid Image ;   Wanda Peteanu5 Author Orcid Image ;   Walter Tavares1, 2, 3, 7 Author Orcid Image
Article Authors Cited by (12) Tweetations (43) Metrics

Journals

  1. Laupichler M, Aster A, Schirch J, Raupach T. Artificial intelligence literacy in higher and adult education: A scoping literature review. Computers and Education: Artificial Intelligence 2022;3:100101 View
  2. Woo J, Kim E, Kim S. The current status of breakthrough devices designation in the United States and innovative medical devices designation in Korea for digital health software. Expert Review of Medical Devices 2022;19(3):213 View
  3. Badr N, Carrubbo L, Ralyté J. Smart Cities for People with IDD - Foundations for Digitally Inclusive Healthcare Ecosystems. ITM Web of Conferences 2023;51:04002 View
  4. Laupichler M, Hadizadeh D, Wintergerst M, von der Emde L, Paech D, Dick E, Raupach T. Effect of a flipped classroom course to foster medical students’ AI literacy with a focus on medical imaging: a single group pre-and post-test study. BMC Medical Education 2022;22(1) View
  5. Pap I, Oniga S. A Review of Converging Technologies in eHealth Pertaining to Artificial Intelligence. International Journal of Environmental Research and Public Health 2022;19(18):11413 View
  6. Kleine A, Kokje E, Lermer E, Gaube S. Attitudes Toward the Adoption of 2 Artificial Intelligence–Enabled Mental Health Tools Among Prospective Psychotherapists: Cross-sectional Study. JMIR Human Factors 2023;10:e46859 View
  7. 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
  8. Moulaei K, Yadegari A, Baharestani M, Farzanbakhsh S, Sabet B, Reza Afrash M. Generative artificial intelligence in healthcare: A scoping review on benefits, challenges and applications. International Journal of Medical Informatics 2024;188:105474 View
  9. Yuwono E, Tjondronegoro D, Riverola C, Loy J. Co-creation in action: Bridging the knowledge gap in artificial intelligence among innovation champions. Computers and Education: Artificial Intelligence 2024;7:100272 View
  10. Odero B, Nderitu D, Samuel G. The Ubuntu Way: Ensuring Ethical AI Integration in Health Research. Wellcome Open Research 2024;9:625 View

Books/Policy Documents

  1. Badr N. Innovations in Smart Cities Applications Volume 6. View