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

Artificial Intelligence (1402) Adoption and Change Management of eHealth Systems (727) Decision Support for Health Professionals (1200)

Published on in Vol 24, No 8 (2022): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37611, first published .
The Adoption of Artificial Intelligence in Health Care and Social Services in Australia: Findings From a Methodologically Innovative National Survey of Values and Attitudes (the AVA-AI Study)

The Adoption of Artificial Intelligence in Health Care and Social Services in Australia: Findings From a Methodologically Innovative National Survey of Values and Attitudes (the AVA-AI Study)

The Adoption of Artificial Intelligence in Health Care and Social Services in Australia: Findings From a Methodologically Innovative National Survey of Values and Attitudes (the AVA-AI Study)

Authors of this article:

Sebastian Isbanner1 Author Orcid Image ;   Pauline O’Shaughnessy2 Author Orcid Image ;   David Steel2 Author Orcid Image ;   Scarlet Wilcock3 Author Orcid Image ;   Stacy Carter4 Author Orcid Image
Article Authors Cited by (22) Tweetations (20) Metrics

Journals

  1. Aquino Y, Carter S, Houssami N, Braunack-Mayer A, Win K, Degeling C, Wang L, Rogers W. Practical, epistemic and normative implications of algorithmic bias in healthcare artificial intelligence: a qualitative study of multidisciplinary expert perspectives. Journal of Medical Ethics 2023:jme-2022-108850 View
  2. Pelly M, Fatehi F, Liew D, Verdejo-Garcia A. Artificial intelligence for secondary prevention of myocardial infarction: A qualitative study of patient and health professional perspectives. International Journal of Medical Informatics 2023;173:105041 View
  3. Smith C, Vajdic C, Stephenson N. Centring equity in data‐driven public health: a call for guiding principles to support the equitable design and outcomes of Australia's data integration systems. Medical Journal of Australia 2023;218(8):341 View
  4. Carter S, Carolan L, Saint James Aquino Y, Frazer H, Rogers W, Hall J, Degeling C, Braunack-Mayer A, Houssami N. Australian women's judgements about using artificial intelligence to read mammograms in breast cancer screening. DIGITAL HEALTH 2023;9 View
  5. Gould D, Dowsey M, Glanville-Hearst M, Spelman T, Bailey J, Choong P, Bunzli S. Patients’ Views on AI for Risk Prediction in Shared Decision-Making for Knee Replacement Surgery: Qualitative Interview Study. Journal of Medical Internet Research 2023;25:e43632 View
  6. 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
  7. YORGANCİOGLU TARCAN G, YALÇIN BALÇIK P, SEBİK N. Türkiye ve Dünyada Sağlık Hizmetlerinde Yapay Zekâ. Mersin Üniversitesi Tıp Fakültesi Lokman Hekim Tıp Tarihi ve Folklorik Tıp Dergisi 2024;14(1):50 View
  8. Machado H, Silva S, Neiva L. Publics’ views on ethical challenges of artificial intelligence: a scoping review. AI and Ethics 2023 View
  9. van der Vegt A, Campbell V, Zuccon G. Why clinical artificial intelligence is (almost) non‐existent in Australian hospitals and how to fix it. Medical Journal of Australia 2024;220(4):172 View
  10. Cai Z, He H, Huo W, Xu X. More Unique, More Accepting? Integrating Sense of Uniqueness, Perceived Knowledge, and Perceived Empathy with Acceptance of Medical Artificial Intelligence. International Journal of Human–Computer Interaction 2023:1 View
  11. Frost E, O’Shaughnessy P, Steel D, Braunack-Mayer A, Aquino Y, Carter S. Measures of socioeconomic advantage are not independent predictors of support for healthcare AI: subgroup analysis of a national Australian survey. BMJ Health & Care Informatics 2023;30(1):e100714 View
  12. Kovoor J, Bacchi S, Sharma P, Sharma S, Kumawat M, Stretton B, Gupta A, Chan W, Abou‐Hamden A, Maddern G. Artificial intelligence for surgical services in Australia and New Zealand: opportunities, challenges and recommendations. Medical Journal of Australia 2024;220(5):234 View
  13. Frost E, Bosward R, Aquino Y, Braunack-Mayer A, Carter S. Facilitating public involvement in research about healthcare AI: A scoping review of empirical methods. International Journal of Medical Informatics 2024;186:105417 View
  14. Lee Y, Stretton B, Tan S, Gupta A, Kovoor J, Bacchi S, Lim W, Chan W. Captive markets and medical artificial intelligence. Journal of Medical Imaging and Radiation Oncology 2024;68(3):278 View
  15. Tulğan B, Pak Güre M. In the Echoes of Tomorrow: The Intersection of Social Work and Artificial Intelligence Through the Eyes of Turkish Students. Journal of Social Service Research 2024;50(4):620 View
  16. Botha N, Ansah E, Segbedzi C, Dumahasi V, Maneen S, Kodom R, Tsedze I, Akoto L, Atsu F. Artificial intelligent tools: evidence-mapping on the perceived positive effects on patient-care and confidentiality. BMC Digital Health 2024;2(1) View
  17. Barlow R, Bewley A, Gkini M. AI in Psoriatic Disease: Scoping Review. JMIR Dermatology 2024;7:e50451 View
  18. Colalillo J, Smith J. Artificial intelligence in medicine: The rise of machine learning. Emergency Medicine Australasia 2024;36(4):628 View
  19. Hassan M, Kushniruk A, Borycki E. Barriers to and Facilitators of Artificial Intelligence Adoption in Health Care: Scoping Review. JMIR Human Factors 2024;11:e48633 View
  20. Botha N, Segbedzi C, Dumahasi V, Maneen S, Kodom R, Tsedze I, Akoto L, Atsu F, Lasim O, Ansah E. Artificial intelligence in healthcare: a scoping review of perceived threats to patient rights and safety. Archives of Public Health 2024;82(1) View
  21. Cheng S, Ng P. The PDC30 Chatbot: Development of a Psychoeducational Resource on Dementia Caregiving and a Mixed-Methods Acceptability Study Among Family Caregivers (Preprint). JMIR Aging 2024 View

Books/Policy Documents

  1. Sreeraj V, Parlikar R, Bagali K, Singh Shekhawat H, Venkatasubramanian G. Exploration of Artificial Intelligence and Blockchain Technology in Smart and Secure Healthcare. View