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

Artificial Intelligence (1371) Clinical Information and Decision Making (1407) Decision Support for Health Professionals (1185)

Published on in Vol 24, No 1 (2022): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28916, first published .
General Practitioners’ Attitudes Toward Artificial Intelligence–Enabled Systems: Interview Study

General Practitioners’ Attitudes Toward Artificial Intelligence–Enabled Systems: Interview Study

General Practitioners’ Attitudes Toward Artificial Intelligence–Enabled Systems: Interview Study

Authors of this article:

Christoph Buck1, 2 Author Orcid Image ;   Eileen Doctor3 Author Orcid Image ;   Jasmin Hennrich3 Author Orcid Image ;   Jan Jöhnk4 Author Orcid Image ;   Torsten Eymann1, 4 Author Orcid Image
Article Authors Cited by (42) Tweetations (3) Metrics

Journals

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  8. Chen M, Zhang B, Cai Z, Seery S, Mendez M, Ali N, Ren R, Qiao Y, Xue P, Jiang Y. Physician and Medical Student Attitudes Toward Clinical Artificial Intelligence: A Systematic Review with Cross-Sectional Survey. SSRN Electronic Journal 2022 View
  9. Diel S, Doctor E, Reith R, Buck C, Eymann T. Examining supporting and constraining factors of physicians’ acceptance of telemedical online consultations: a survey study. BMC Health Services Research 2023;23(1) View
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  13. Wewetzer L, Held L, Goetz K, Steinhäuser J. Determinants of the implementation of artificial intelligence-based screening for diabetic retinopathy—a cross-sectional study with general practitioners in Germany. DIGITAL HEALTH 2023;9 View
  14. Kenny R, Fischhoff B, Davis A, Canfield C. Improving Social Bot Detection Through Aid and Training. Human Factors: The Journal of the Human Factors and Ergonomics Society 2024;66(10):2323 View
  15. Hummelsberger P, Koch T, Rauh S, Dorn J, Lermer E, Raue M, Hudecek M, Schicho A, Colak E, Ghassemi M, Gaube S. Insights on the Current State and Future Outlook of AI in Health Care: Expert Interview Study. JMIR AI 2023;2:e47353 View
  16. Chen Y, Wu Z, Wang P, Xie L, Yan M, Jiang M, Yang Z, Zheng J, Zhang J, Zhu J. Radiology Residents’ Perceptions of Artificial Intelligence: Nationwide Cross-Sectional Survey Study. Journal of Medical Internet Research 2023;25:e48249 View
  17. Helenason J, Ekström C, Falk M, Papachristou P. Exploring the feasibility of an artificial intelligence based clinical decision support system for cutaneous melanoma detection in primary care – a mixed method study. Scandinavian Journal of Primary Health Care 2024;42(1):51 View
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  19. Townsend B, Plant K, Hodge V, Ashaolu O, Calinescu R. Medical practitioner perspectives on AI in emergency triage. Frontiers in Digital Health 2023;5 View
  20. Stewart J, Freeman S, Eroglu E, Dumitrascu N, Lu J, Goudie A, Sprivulis P, Akhlaghi H, Tran V, Sanfilippo F, Celenza A, Than M, Fatovich D, Walker K, Dwivedi G. Attitudes towards artificial intelligence in emergency medicine. Emergency Medicine Australasia 2024;36(2):252 View
  21. Čartolovni A, Malešević A, Poslon L. Critical analysis of the AI impact on the patient–physician relationship: A multi-stakeholder qualitative study. DIGITAL HEALTH 2023;9 View
  22. Koebe P, Bohnet-Joschko S. What’s next in hospital digitization? A Delphi-based scenario study. European Journal of Futures Research 2023;11(1) View
  23. Evans R, Bryant L, Russell G, Absolom K. Trust and acceptability of data-driven clinical recommendations in everyday practice: A scoping review. International Journal of Medical Informatics 2024;183:105342 View
  24. Giddings R, Joseph A, Callender T, Janes S, van der Schaar M, Sheringham J, Navani N. Factors influencing clinician and patient interaction with machine learning-based risk prediction models: a systematic review. The Lancet Digital Health 2024;6(2):e131 View
  25. Allen M, Webb S, Mandvi A, Frieden M, Tai-Seale M, Kallenberg G. Navigating the doctor-patient-AI relationship - a mixed-methods study of physician attitudes toward artificial intelligence in primary care. BMC Primary Care 2024;25(1) View
  26. Gunathilaka N, Gooden T, Cooper J, Flanagan S, Marshall T, Haroon S, D’Elia A, Crowe F, Jackson T, Nirantharakumar K, Greenfield S. Perceptions on artificial intelligence-based decision-making for coexisting multiple long-term health conditions: protocol for a qualitative study with patients and healthcare professionals. BMJ Open 2024;14(2):e077156 View
  27. Gültekin M, Şahin M. The use of artificial intelligence in mental health services in Turkey: What do mental health professionals think?. Cyberpsychology: Journal of Psychosocial Research on Cyberspace 2024;18(1) View
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  30. Papachristou P, Söderholm M, Pallon J, Taloyan M, Polesie S, Paoli J, Anderson C, Falk M. Evaluation of an artificial intelligence-based decision support for the detection of cutaneous melanoma in primary care: a prospective real-life clinical trial. British Journal of Dermatology 2024;191(1):125 View
  31. Ling Kuo R, Freethy A, Smith J, Hill R, C J, Jerome D, Harriss E, Collins G, Tutton E, Furniss D. Stakeholder perspectives towards diagnostic artificial intelligence: a co-produced qualitative evidence synthesis. eClinicalMedicine 2024;71:102555 View
  32. Hennrich J, Ritz E, Hofmann P, Urbach N. Capturing artificial intelligence applications’ value proposition in healthcare – a qualitative research study. BMC Health Services Research 2024;24(1) View
  33. Yang Y, Ngai E, Wang L. Resistance to artificial intelligence in health care: Literature review, conceptual framework, and research agenda. Information & Management 2024;61(4):103961 View
  34. Diaz-Asper C, Chandler C, Elvevåg B, Thomas K. Cognitive Screening for Mild Cognitive Impairment: Clinician Perspectives on Current Practices and Future Directions. Journal of Alzheimer's Disease 2024;99(3):869 View
  35. Benabed A, Bujor D, Manita Bulareanu A, Constantin Ene A. The Role of AI for Business and Companies’ Leadership and Internationalization in Globalization: A Background with Analysis. Proceedings of the International Conference on Business Excellence 2024;18(1):268 View
  36. Shawli L, Alsobhi M, Faisal Chevidikunnan M, Rosewilliam S, Basuodan R, Khan F. Physical therapists’ perceptions and attitudes towards artificial intelligence in healthcare and rehabilitation: A qualitative study. Musculoskeletal Science and Practice 2024;73:103152 View
  37. BAŞAR E, KES ERKUL A. Factors Affecting the Attitude of Medical Doctors in Türkiye towards Using Artificial Intelligence Applications in Healthcare Services. Bezmialem Science 2024:297 View
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Books/Policy Documents

  1. Buijs E, Maggioni E. Artificial Intelligence. View