Published on in Vol 4 , No 6 (2020) :June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16670, first published .
Patient Perception of Plain-Language Medical Notes Generated Using Artificial Intelligence Software: Pilot Mixed-Methods Study

Patient Perception of Plain-Language Medical Notes Generated Using Artificial Intelligence Software: Pilot Mixed-Methods Study

Patient Perception of Plain-Language Medical Notes Generated Using Artificial Intelligence Software: Pilot Mixed-Methods Study

Journals

  1. Young A, Amara D, Bhattacharya A, Wei M. Patient and general public attitudes towards clinical artificial intelligence: a mixed methods systematic review. The Lancet Digital Health 2021;3(9):e599 View
  2. Mutasa S, Yi P. Clinical Artificial Intelligence Applications. Radiologic Clinics of North America 2021;59(6):1013 View
  3. Perlis N, Finelli A, Lovas M, Lund A, Di Meo A, Lajkosz K, Berlin A, Papadakos J, Ghai S, Deniffel D, Meng E, Wiljer D, Alibhai S, Bakas V, Badzynski A, Lee O, Cafazzo J, Haider M. Exploring the value of using patient-oriented MRI reports in clinical practice — a pilot study. Supportive Care in Cancer 2022;30(8):6857 View
  4. Solomonides A, Koski E, Atabaki S, Weinberg S, McGreevey J, Kannry J, Petersen C, Lehmann C. Defining AMIA’s artificial intelligence principles. Journal of the American Medical Informatics Association 2022;29(4):585 View
  5. Liu T, Xiao X. A Framework of AI-Based Approaches to Improving eHealth Literacy and Combating Infodemic. Frontiers in Public Health 2021;9 View
  6. Frommeyer T, Fursmidt R, Gilbert M, Bett E. The Desire of Medical Students to Integrate Artificial Intelligence Into Medical Education: An Opinion Article. Frontiers in Digital Health 2022;4 View