Published on in Vol 23, No 2 (2021): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24221, first published .
Use and Control of Artificial Intelligence in Patients Across the Medical Workflow: Single-Center Questionnaire Study of Patient Perspectives

Use and Control of Artificial Intelligence in Patients Across the Medical Workflow: Single-Center Questionnaire Study of Patient Perspectives

Use and Control of Artificial Intelligence in Patients Across the Medical Workflow: Single-Center Questionnaire Study of Patient Perspectives

Journals

  1. Miró Catalina Q, Fuster-Casanovas A, Solé-Casals J, Vidal-Alaball J. Developing an Artificial Intelligence Model for Reading Chest X-rays: Protocol for a Prospective Validation Study. JMIR Research Protocols 2022;11(11):e39536 View
  2. Temple S, Rowbottom C, Simpson J. Patient views on the implementation of artificial intelligence in radiotherapy. Radiography 2023;29:S112 View
  3. Monoscalco L, Simeoni R, Maccioni G, Giansanti D. Information Security in Medical Robotics: A Survey on the Level of Training, Awareness and Use of the Physiotherapist. Healthcare 2022;10(1):159 View
  4. Giansanti D. Comment on Patel, B.; Makaryus, A.N. Artificial Intelligence Advances in the World of Cardiovascular Imaging. Healthcare 2022, 10, 154. Healthcare 2022;10(4):727 View
  5. Fritsch S, Blankenheim A, Wahl A, Hetfeld P, Maassen O, Deffge S, Kunze J, Rossaint R, Riedel M, Marx G, Bickenbach J. Attitudes and perception of artificial intelligence in healthcare: A cross-sectional survey among patients. DIGITAL HEALTH 2022;8:205520762211167 View
  6. Di Basilio F, Esposisto G, Monoscalco L, Giansanti D. The Artificial Intelligence in Digital Radiology: Part 2: Towards an Investigation of acceptance and consensus on the Insiders. Healthcare 2022;10(1):153 View
  7. Scott I, Carter S, Coiera E. Exploring stakeholder attitudes towards AI in clinical practice. BMJ Health & Care Informatics 2021;28(1):e100450 View
  8. Khanijahani A, Iezadi S, Dudley S, Goettler M, Kroetsch P, Wise J. Organizational, professional, and patient characteristics associated with artificial intelligence adoption in healthcare: A systematic review. Health Policy and Technology 2022;11(1):100602 View
  9. Giansanti D, Di Basilio F. The Artificial Intelligence in Digital Radiology: Part 1: The Challenges, Acceptance and Consensus. Healthcare 2022;10(3):509 View
  10. Patel B, Makaryus A. Reply to Giansanti, D. Comment on “Patel, B.; Makaryus, A.N. Artificial Intelligence Advances in the World of Cardiovascular Imaging. Healthcare 2022, 10, 154”. Healthcare 2022;10(4):735 View
  11. Formosa P, Rogers W, Griep Y, Bankins S, Richards D. Medical AI and human dignity: Contrasting perceptions of human and artificially intelligent (AI) decision making in diagnostic and medical resource allocation contexts. Computers in Human Behavior 2022;133:107296 View
  12. Lawrie L, Turner S, Cotton S, Wood J, Morgan H, De Silva D. A qualitative process evaluation within a clinical trial that used healthcare technologies for children with asthma–insights and implications. PLOS ONE 2023;18(1):e0280086 View
  13. Shah P, Mishra D, Shanmugam M, Vighnesh M, Jayaraj H. Acceptability of artificial intelligence-based retina screening in general population. Indian Journal of Ophthalmology 2022;70(4):1140 View
  14. Lennartz S, Schlemmer H, Persigehl T. Diagnostische Radiologie. Die Onkologie 2022;28(9):818 View
  15. Mahmud H, Islam A, Ahmed S, Smolander K. What influences algorithmic decision-making? A systematic literature review on algorithm aversion. Technological Forecasting and Social Change 2022;175:121390 View
  16. Nichol B, Hurlbert A, Read J. Predicting attitudes towards screening for neurodegenerative diseases using OCT and artificial intelligence: Findings from a literature review. Journal of Public Health Research 2022;11(4):227990362211276 View
  17. Jeyakumar T, Younus S, Zhang M, Clare M, Charow R, Karsan I, Dhalla A, Al-Mouaswas D, Scandiffio J, Aling J, Salhia M, Lalani N, Overholt S, Wiljer D. Preparing for an Artificial Intelligence–Enabled Future: Patient Perspectives on Engagement and Health Care Professional Training for Adopting Artificial Intelligence Technologies in Health Care Settings. JMIR AI 2023;2:e40973 View
  18. Armero W, Gray K, Fields K, Cole N, Bates D, Kovacheva V. A survey of pregnant patients’ perspectives on the implementation of artificial intelligence in clinical care. Journal of the American Medical Informatics Association 2022;30(1):46 View
  19. van der Zander Q, van der Ende - van Loon M, Janssen J, Winkens B, van der Sommen F, Masclee A, Schoon E. Artificial intelligence in (gastrointestinal) healthcare: patients’ and physicians’ perspectives. Scientific Reports 2022;12(1) View
  20. Al-Medfa M, Al-Ansari A, Darwish A, Qreeballa T, Jahrami H. Physicians’ attitudes and knowledge toward artificial intelligence in medicine: Benefits and drawbacks. Heliyon 2023;9(4):e14744 View
  21. Hemphill S, Jackson K, Bradley S, Bhartia B. The implementation of artificial intelligence in radiology: a narrative review of patient perspectives. Future Healthcare Journal 2023;10(1):63 View
  22. Beets B, Newman T, Howell E, Bao L, Yang S. Surveying Public Perceptions of Artificial Intelligence in Health Care in the United States: Systematic Review. Journal of Medical Internet Research 2023;25:e40337 View
  23. Bahakeem B, Alobaidi S, Alzahrani A, Alhasawi R, Alzahrani A, Alqahtani W, Alhashmi Alamer L, Bin Laswad B, Al Shanbari N. The General Population’s Perspectives on Implementation of Artificial Intelligence in Radiology in the Western Region of Saudi Arabia. Cureus 2023 View
  24. Milota M, Drogt J, Jongsma K. Making AI’s Impact on Pathology Visible: Using Ethnographic Methods for Ethical and Epistemological Insights. Digital Society 2023;2(3) View
  25. Li L, Haley L, Boyd A, Bernstam E. Technical/Algorithm, Stakeholder, and Society (TASS) barriers to the application of artificial intelligence in medicine: A systematic review. Journal of Biomedical Informatics 2023;147:104531 View
  26. Rodler S, Kopliku R, Ulrich D, Kaltenhauser A, Casuscelli J, Eismann L, Waidelich R, Buchner A, Butz A, Cacciamani G, Stief C, Westhofen T. Patients’ Trust in Artificial Intelligence–based Decision-making for Localized Prostate Cancer: Results from a Prospective Trial. European Urology Focus 2023 View
  27. Ibba S, Tancredi C, Fantesini A, Cellina M, Presta R, Montanari R, Papa S, Alì M. How do patients perceive the AI-radiologists interaction? Results of a survey on 2119 responders. European Journal of Radiology 2023;165:110917 View
  28. Borondy Kitts A. Patient Perspectives on Artificial Intelligence in Radiology. Journal of the American College of Radiology 2023;20(9):863 View
  29. Hameed B, Naik N, Ibrahim S, Tatkar N, Shah M, Prasad D, Hegde P, Chlosta P, Rai B, Somani B. Breaking Barriers: Unveiling Factors Influencing the Adoption of Artificial Intelligence by Healthcare Providers. Big Data and Cognitive Computing 2023;7(2):105 View
  30. 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
  31. Vo V, Chen G, Aquino Y, Carter S, Do Q, Woode M. Multi-stakeholder preferences for the use of artificial intelligence in healthcare: A systematic review and thematic analysis. Social Science & Medicine 2023;338:116357 View
  32. Holm S, Ploug T, Fiaschetti M. Population preferences for AI system features across eight different decision-making contexts. PLOS ONE 2023;18(12):e0295277 View
  33. Godoy Junior C, Miele F, Mäkitie L, Fiorenzato E, Koivu M, Bakker L, Groot C, Redekop W, van Deen W. Attitudes Toward the Adoption of Remote Patient Monitoring and Artificial Intelligence in Parkinson’s Disease Management: Perspectives of Patients and Neurologists. The Patient - Patient-Centered Outcomes Research 2024;17(3):275 View
  34. Sheth S, Baker H, Prescher H, Strelzow J. Ethical Considerations of Artificial Intelligence in Health Care: Examining the Role of Generative Pretrained Transformer-4. Journal of the American Academy of Orthopaedic Surgeons 2024;32(5):205 View
  35. Hudecek M, Lermer E, Gaube S, Cecil J, Heiss S, Batz F. Fine for others but not for me: The role of perspective in patients’ perception of artificial intelligence in online medical platforms. Computers in Human Behavior: Artificial Humans 2024;2(1):100046 View
  36. 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
  37. Oprea S, Nica I, Bâra A, Georgescu I. Are skepticism and moderation dominating attitudes toward AI‐based technologies?. The American Journal of Economics and Sociology 2024;83(3):567 View
  38. Gianola S, Bargeri S, Castellini G, Cook C, Palese A, Pillastrini P, Salvalaggio S, Turolla A, Rossettini G. Performance of ChatGPT Compared to Clinical Practice Guidelines in Making Informed Decisions for Lumbosacral Radicular Pain: A Cross-sectional Study. Journal of Orthopaedic & Sports Physical Therapy 2024;54(3):222 View
  39. Capinding A. Development and Validation of Instruments for Assessing the Impact of Artificial Intelligence on Students in Higher Education. International Journal of Educational Methodology 2024;volume-10-2024(volume-10-issue-2-may-2024):197 View
  40. 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
  41. Lepri G, Oddi F, Gulino R, Giansanti D. Beyond the Clinic Walls: Examining Radiology Technicians’ Experiences in Home-Based Radiography. Healthcare 2024;12(7):732 View
  42. 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
  43. Park H. Patient perspectives on informed consent for medical AI: A web-based experiment. DIGITAL HEALTH 2024;10 View
  44. Cè M, Ibba S, Cellina M, Tancredi C, Fantesini A, Fazzini D, Fortunati A, Perazzo C, Presta R, Montanari R, Forzenigo L, Carrafiello G, Papa S, Alì M. Radiologists’ perceptions on AI integration: An in-depth survey study. European Journal of Radiology 2024;177:111590 View
  45. Albinsaad L, Alkhawajah A, Abuageelah B, Alkhalaf R, Alfaifi M, Oberi I, Alnajjad A, Albalawi I, Alessa M, Khan A. The Saudi Community View of the Use of Artificial Intelligence in Health Care. Annals of African Medicine 2024 View
  46. Baghdadi L, Mobeirek A, Alhudaithi D, Albenmousa F, Alhadlaq L, Alaql M, Alhamlan S. Patients’ Attitudes Toward the Use of Artificial Intelligence as a Diagnostic Tool in Radiology in Saudi Arabia: Cross-Sectional Study. JMIR Human Factors 2024;11:e53108 View

Books/Policy Documents

  1. Durrah O, Aldhmour F, El-Maghraby L, Chakir A. Engineering Applications of Artificial Intelligence. View