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

Design and Usability of Clinical Software and EHRs (312) Artificial Intelligence (1831) Decision Support for Health Professionals (1388) Clinical Information and Decision Making (1721) Usability of Apps and User Perceptions of mHealth (1106) User Needs and Competencies (392) Clinical Informatics (1190)

Published on in Vol 9, No 1 (2022): Jan-Mar

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24680, first published .
Acceptance of the Use of Artificial Intelligence in Medicine Among Japan’s Doctors and the Public: A Questionnaire Survey

Acceptance of the Use of Artificial Intelligence in Medicine Among Japan’s Doctors and the Public: A Questionnaire Survey

Acceptance of the Use of Artificial Intelligence in Medicine Among Japan’s Doctors and the Public: A Questionnaire Survey

Authors of this article:

Honoka Tamori1 Author Orcid Image ;   Hiroko Yamashina2, 3 Author Orcid Image ;   Masami Mukai1, 4 Author Orcid Image ;   Yasuhiro Morii5 Author Orcid Image ;   Teppei Suzuki2, 6 Author Orcid Image ;   Katsuhiko Ogasawara2 Author Orcid Image
Article Authors Cited by (27) Tweetations (3) Metrics

Journals

  1. Kloka J, Holtmann S, Nürenberg-Goloub E, Piekarski F, Zacharowski K, Friedrichson B. Expectations of Anesthesiology and Intensive Care Professionals Toward Artificial Intelligence: Observational Study. JMIR Formative Research 2023;7:e43896 View
  2. Farah L, Murris J, Borget I, Guilloux A, Martelli N, Katsahian S. Assessment of Performance, Interpretability, and Explainability in Artificial Intelligence–Based Health Technologies: What Healthcare Stakeholders Need to Know. Mayo Clinic Proceedings: Digital Health 2023;1(2):120 View
  3. Alanazi A. Clinicians’ Views on Using Artificial Intelligence in Healthcare: Opportunities, Challenges, and Beyond. Cureus 2023 View
  4. Alanzi T, Alanazi F, Mashhour B, Altalhi R, Alghamdi A, Al Shubbar M, Alamro S, Alshammari M, Almusmili L, Alanazi L, Alzahrani S, Alalouni R, Alanzi N, Alsharifa A. Surveying Hematologists’ Perceptions and Readiness to Embrace Artificial Intelligence in Diagnosis and Treatment Decision-Making. Cureus 2023 View
  5. Shevtsova D, Ahmed A, Boot I, Sanges C, Hudecek M, Jacobs J, Hort S, Vrijhoef H. Trust in and Acceptance of Artificial Intelligence Applications in Medicine: Mixed Methods Study. JMIR Human Factors 2024;11:e47031 View
  6. Viberg Johansson J, Dembrower K, Strand F, Grauman Å. Women’s perceptions and attitudes towards the use of AI in mammography in Sweden: a qualitative interview study. BMJ Open 2024;14(2):e084014 View
  7. Scharre A, Scholler D, Gesell‐May S, Müller T, Zablotski Y, Ertel W, May A. Comparison of veterinarians and a deep learning tool in the diagnosis of equine ophthalmic diseases. Equine Veterinary Journal 2025;57(1):47 View
  8. Swain S, Muduli K. Uncovering the Issues Associated with AI and other Disruptive Technology Enabled Operational Practices in Healthcare Sectors in India. Recent Patents on Engineering 2024;18(5) View
  9. Pringle A, Kumaran V, Missier M, Nadar A. Perceptiveness and Attitude on the use of Artificial Intelligence (AI) in Dentistry among Dentists and Non-Dentists - A Regional Survey. Journal of Pharmacy and Bioallied Sciences 2024;16(Suppl 2):S1481 View
  10. Dingel J, Kleine A, Cecil J, Sigl A, Lermer E, Gaube S. Predictors of Health Care Practitioners’ Intention to Use AI-Enabled Clinical Decision Support Systems: Meta-Analysis Based on the Unified Theory of Acceptance and Use of Technology. Journal of Medical Internet Research 2024;26:e57224 View
  11. Rane N, Choudhary S, Rane J. Acceptance of artificial intelligence: key factors, challenges, and implementation strategies. SSRN Electronic Journal 2024 View
  12. Alshutayli A, Asiri F, Abutaleb Y, Alomair B, Almasaud A, Almaqhawi A. Assessing Public Knowledge and Acceptance of Using Artificial Intelligence Doctors as a Partial Alternative to Human Doctors in Saudi Arabia: A Cross-Sectional Study. Cureus 2024 View
  13. Karakoç M, Durusoy H, Özdemir E, Bilek E. Reçete Yazımında Yapay Zekâ Kullanımı Konusunda Tıp Fakültesi Öğrencilerinin Bilgi Düzeyleri ve Beklentilerinin Araştırılması. OSMANGAZİ JOURNAL OF MEDICINE 2024;46(6) View
  14. Oprea S, Bâra A. Profiling public perception of emerging technologies: Gene editing, brain chips and exoskeletons. A data-analytics framework. Heliyon 2024;10(22):e40268 View
  15. Boaro A, Mezzalira E, Siddi F, Bagattini C, Gabrovsky N, Marchesini N, Broekman M, Sala F, Ivanov M, Ringel F, Tessitore E, Sampron N, Boaro A, Staartjes V. Knowledge, interest and perspectives on Artificial Intelligence in Neurosurgery. A global survey. Brain and Spine 2025;5:104156 View
  16. Warrington D, Holm S. Healthcare ethics and artificial intelligence: a UK doctor survey. BMJ Open 2024;14(12):e089090 View
  17. Hofman P, Ourailidis I, Romanovsky E, Ilié M, Budczies J, Stenzinger A. Artificial intelligence for diagnosis and predictive biomarkers in Non-Small cell lung cancer Patients: New promises but also new hurdles for the pathologist. Lung Cancer 2025;200:108110 View
  18. Badjatia N, Podell J, Felix R, Chen L, Dalton K, Wang T, Yang S, Hu P. Machine Learning Approaches to Prognostication in Traumatic Brain Injury. Current Neurology and Neuroscience Reports 2025;25(1) View
  19. Masukawa K, Hirayama H, Tagami K, Kawashima A, Chiu S, Ito K, Matsuzaka S, Aoyama M, Mori M. Needs of bereaved families of patients with cancer towards artificial intelligence in palliative care: A web-based survey. European Journal of Oncology Nursing 2025;76:102875 View
  20. Mejza M, Bajer A, Wanibuchi S, Małecka-Wojciesko E. Can AI Be Useful in the Early Detection of Pancreatic Cancer in Patients with New-Onset Diabetes?. Biomedicines 2025;13(4):836 View
  21. Nesa L, Rony M, Chowdhury S, Naznin M, Halder K, Ara M, Akter N, Mankhin K, Shabnur J, Alam J, Parvin M, Alrazeeni D, Akter F. Artificial Intelligence in Healthcare: A Scoping Review of Medical Professionals' Acceptance and Institutional Challenges in Implementation. Journal of Evaluation in Clinical Practice 2025;31(4) View

Books/Policy Documents

  1. Rao Bhavaraju S. Artificial Intelligence in Medicine and Surgery - An Exploration of Current Trends, Potential Opportunities, and Evolving Threats - Volume 1. View
  2. Kendall Roundtree A. HCI International 2024 – Late Breaking Papers. View
  3. Pham C, Nguyen K, Le D. 10th International Conference on the Development of Biomedical Engineering in Vietnam. View

Conference Proceedings

  1. Al-Jaroodi J, Mohamed N, Kesserwan N, Jawhar I. 2023 IEEE International Systems Conference (SysCon). Human Factors Affecting the Adoption of Healthcare 4.0 View
  2. Christian M, Pardede R, Gularso K, Wibowo S, Muzammil O, Sunarno . 2024 3rd International Conference on Creative Communication and Innovative Technology (ICCIT). Evaluating AI-Induced Anxiety and Technical Blindness in Healthcare Professionals View
  3. Leist R, Profitlich H, Hunsicker T, Sonntag D. Proceedings of the 30th International Conference on Intelligent User Interfaces. Towards Trustable Intelligent Clinical Decision Support Systems: A User Study with Ophthalmologists View