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

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12422, first published .
Physician Confidence in Artificial Intelligence: An Online Mobile Survey

Physician Confidence in Artificial Intelligence: An Online Mobile Survey

Physician Confidence in Artificial Intelligence: An Online Mobile Survey

Journals

  1. Sur J, Bose S, Khan F, Dewangan D, Sawriya E, Roul A. Knowledge, attitudes, and perceptions regarding the future of artificial intelligence in oral radiology in India: A survey. Imaging Science in Dentistry 2020;50(3):193 View
  2. 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
  3. Palmisciano P, Jamjoom A, Taylor D, Stoyanov D, Marcus H. Attitudes of Patients and Their Relatives Toward Artificial Intelligence in Neurosurgery. World Neurosurgery 2020;138:e627 View
  4. Coughlan J, Mullins C, Kiernan T. Diagnosing, fast and slow. Postgraduate Medical Journal 2021;97(1144):103 View
  5. Gille F, Jobin A, Ienca M. What we talk about when we talk about trust: Theory of trust for AI in healthcare. Intelligence-Based Medicine 2020;1-2:100001 View
  6. Yüzbaşıoğlu E. Attitudes and perceptions of dental students towards artificial intelligence. Journal of Dental Education 2021;85(1):60 View
  7. Ardon O, Schmidt R. Clinical Laboratory Employees’ Attitudes Toward Artificial Intelligence. Laboratory Medicine 2020;51(6):649 View
  8. Meskó B. The Real Era of the Art of Medicine Begins with Artificial Intelligence. Journal of Medical Internet Research 2019;21(11):e16295 View
  9. Jutzi T, Krieghoff-Henning E, Holland-Letz T, Utikal J, Hauschild A, Schadendorf D, Sondermann W, Fröhling S, Hekler A, Schmitt M, Maron R, Brinker T. Artificial Intelligence in Skin Cancer Diagnostics: The Patients' Perspective. Frontiers in Medicine 2020;7 View
  10. Kim J, Chae M, Chang H, Kim Y, Park E. Predicting Cardiac Arrest and Respiratory Failure Using Feasible Artificial Intelligence with Simple Trajectories of Patient Data. Journal of Clinical Medicine 2019;8(9):1336 View
  11. Jonmarker O, Strand F, Brandberg Y, Lindholm P. The future of breast cancer screening: what do participants in a breast cancer screening program think about automation using artificial intelligence?. Acta Radiologica Open 2019;8(12):205846011988031 View
  12. Lee H, Park S, Kim C, Kim S, Cha J. Survey of the Knowledge of Korean Radiology Residents on Medical Artificial Intelligence. Journal of the Korean Society of Radiology 2020;81(6):1397 View
  13. Abdullah R, Fakieh B. Health Care Employees’ Perceptions of the Use of Artificial Intelligence Applications: Survey Study. Journal of Medical Internet Research 2020;22(5):e17620 View
  14. 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
  15. Polesie S, Gillstedt M, Kittler H, Lallas A, Tschandl P, Zalaudek I, Paoli J. Attitudes towards artificial intelligence within dermatology: an international online survey. British Journal of Dermatology 2020;183(1):159 View
  16. Challa A, Beam A, Shen M, Peryea T, Lavieri R, Lippmann E, Aronoff D. Machine learning on drug-specific data to predict small molecule teratogenicity. Reproductive Toxicology 2020;95:148 View
  17. 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
  18. Castagno S, Khalifa M. Perceptions of Artificial Intelligence Among Healthcare Staff: A Qualitative Survey Study. Frontiers in Artificial Intelligence 2020;3 View
  19. Cheng J, Abel J, Balis U, McClintock D, Pantanowitz L. Challenges in the Development, Deployment, and Regulation of Artificial Intelligence in Anatomic Pathology. The American Journal of Pathology 2020 View
  20. Paranjape K, Schinkel M, Hammer R, Schouten B, Nannan Panday R, Elbers P, Kramer M, Nanayakkara P. The Value of Artificial Intelligence in Laboratory Medicine. American Journal of Clinical Pathology 2020 View
  21. Layard Horsfall H, Palmisciano P, Khan D, Muirhead W, Koh C, Stoyanov D, Marcus H. Attitudes of the Surgical Team Toward Artificial Intelligence in Neurosurgery: International 2-Stage Cross-Sectional Survey. World Neurosurgery 2021;146:e724 View
  22. Lennox-Chhugani N, Chen Y, Pearson V, Trzcinski B, James J. Women’s attitudes to the use of AI image readers: a case study from a national breast screening programme. BMJ Health & Care Informatics 2021;28(1):e100293 View