Published on in Vol 21, No 3 (2019): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12802, first published .
Artificial Intelligence and the Future of Primary Care: Exploratory Qualitative Study of UK General Practitioners’ Views

Artificial Intelligence and the Future of Primary Care: Exploratory Qualitative Study of UK General Practitioners’ Views

Artificial Intelligence and the Future of Primary Care: Exploratory Qualitative Study of UK General Practitioners’ Views

Journals

  1. Alami H, Lehoux P, Auclair Y, de Guise M, Gagnon M, Shaw J, Roy D, Fleet R, Ag Ahmed M, Fortin J. Artificial Intelligence and Health Technology Assessment: Anticipating a New Level of Complexity. Journal of Medical Internet Research 2020;22(7):e17707 View
  2. Doraiswamy P, Blease C, Bodner K. Artificial intelligence and the future of psychiatry: Insights from a global physician survey. Artificial Intelligence in Medicine 2020;102:101753 View
  3. Li H. Impact of Artificial Intelligence Based on Big Data on Medical Care. Journal of Physics: Conference Series 2020;1533:032077 View
  4. Laï M, Brian M, Mamzer M. Perceptions of artificial intelligence in healthcare: findings from a qualitative survey study among actors in France. Journal of Translational Medicine 2020;18(1) View
  5. Rashid A. Yonder: Obesity communication, opioid deprescribing, actinic keratosis, and artificial intelligence. British Journal of General Practice 2019;69(684):350 View
  6. Kocaballi A, Ijaz K, Laranjo L, Quiroz J, Rezazadegan D, Tong H, Willcock S, Berkovsky S, Coiera E. Envisioning an artificial intelligence documentation assistant for future primary care consultations: A co-design study with general practitioners. Journal of the American Medical Informatics Association 2020;27(11):1695 View
  7. Gao S, He L, Chen Y, Li D, Lai K. Public Perception of Artificial Intelligence in Medical Care: Content Analysis of Social Media. Journal of Medical Internet Research 2020;22(7):e16649 View
  8. Hill A, Joyner C, Keith-Jopp C, Yet B, Tuncer Sakar C, Marsh W, Morrissey D. A Bayesian Network Decision Support Tool for Low Back Pain Using a RAND Appropriateness Procedure: Proposal and Internal Pilot Study. JMIR Research Protocols 2021;10(1):e21804 View
  9. Blease C, Kharko A, Locher C, DesRoches C, Mandl K, Marotta C. US primary care in 2029: A Delphi survey on the impact of machine learning. PLOS ONE 2020;15(10):e0239947 View
  10. Sandhu S, Lin A, Brajer N, Sperling J, Ratliff W, Bedoya A, Balu S, O'Brien C, Sendak M. Integrating a Machine Learning System Into Clinical Workflows: Qualitative Study. Journal of Medical Internet Research 2020;22(11):e22421 View
  11. Hendrix N, Hauber B, Lee C, Bansal A, Veenstra D. Artificial intelligence in breast cancer screening: primary care provider preferences. Journal of the American Medical Informatics Association 2021;28(6):1117 View
  12. Blease C, Locher C, Leon-Carlyle M, Doraiswamy M. Artificial intelligence and the future of psychiatry: Qualitative findings from a global physician survey. DIGITAL HEALTH 2020;6:205520762096835 View
  13. Shinners L, Aggar C, Grace S, Smith S. Exploring healthcare professionals’ perceptions of artificial intelligence: Validating a questionnaire using the e-Delphi method. DIGITAL HEALTH 2021;7:205520762110034 View
  14. Blease C, Kharko A, Annoni M, Gaab J, Locher C. Machine Learning in Clinical Psychology and Psychotherapy Education: A Mixed Methods Pilot Survey of Postgraduate Students at a Swiss University. Frontiers in Public Health 2021;9 View
  15. Khullar D, Casalino L, Qian Y, Lu Y, Chang E, Aneja S. Public vs physician views of liability for artificial intelligence in health care. Journal of the American Medical Informatics Association 2021 View
  16. Bigman Y, Yam K, Marciano D, Reynolds S, Gray K. Threat of racial and economic inequality increases preference for algorithm decision-making. Computers in Human Behavior 2021;122:106859 View
  17. Rowe M, Nicholls D, Shaw J. How to replace a physiotherapist: artificial intelligence and the redistribution of expertise. Physiotherapy Theory and Practice 2021:1 View
  18. Valikodath N, Cole E, Ting D, Campbell J, Pasquale L, Chiang M, Chan R. Impact of Artificial Intelligence on Medical Education in Ophthalmology. Translational Vision Science & Technology 2021;10(7):14 View

Books/Policy Documents

  1. Bohr A, Memarzadeh K. Artificial Intelligence in Healthcare. View
  2. Glauner P. Digitalization in Healthcare. View