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

Artificial Intelligence (2129) Decision Support for Health Professionals (1539) Adoption and Change Management of eHealth Systems (894)

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

Authors of this article:

Simon Lennartz1 Author Orcid Image ;   Thomas Dratsch1 Author Orcid Image ;   David Zopfs1 Author Orcid Image ;   Thorsten Persigehl1 Author Orcid Image ;   David Maintz1 Author Orcid Image ;   Nils Große Hokamp1 Author Orcid Image ;   Daniel Pinto dos Santos1 Author Orcid Image
Article Authors Cited by (90) Tweetations (15) Metrics

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) 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 2024;10(4):654 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
  47. Banerjee A, Sarangi P, Kumar S. Medical Doctors’ Perceptions of Artificial Intelligence (AI) in Healthcare. Cureus 2024 View
  48. Revillod G. Why Do Swiss HR Departments Dislike Algorithms in Their Recruitment Process? An Empirical Analysis. Administrative Sciences 2024;14(10):253 View
  49. Carl N, Nguyen L, Haggenmüller S, Joachim Hetz M, Theres Winterstein J, Otto Hartung F, Gruene B, Nikolas Kather J, Holland-Letz T, Stephan Michel M, Wessels F, Josef Brinker T. Comparing Patient’s Confidence in Clinical Capabilities in Urology: Large Language Models Versus Urologists. European Urology Open Science 2024;70:91 View
  50. Wang L, Li X, Zhu H, Zhao Y. A dimensional exploration and scale development study of algorithm aversion. Journal of the Operational Research Society 2025;76(8):1531 View
  51. Li W, Liu X. Anxiety about artificial intelligence from patient and doctor-physician. Patient Education and Counseling 2025;133:108619 View
  52. Gustafson K, Rowe C, Gavaza P, Bernknopf A, Nogid A, Hoffman A, Jones E, Showman L, Miller V, Abdel Aziz M, Brand-Eubanks D, Do D, Berman S, Chu A, Dave V, Devraj R, Hintze T, Munir F, Mohamed I, Ogunsanya M, Prudencio J, Singh D, Southwood R. Pharmacists’ perceptions of artificial intelligence: A national survey. Journal of the American Pharmacists Association 2025;65(1):102306 View
  53. Cromack S, Lew A, Bazzetta S, Xu S, Walter J. The perception of artificial intelligence and infertility care among patients undergoing fertility treatment. Journal of Assisted Reproduction and Genetics 2025;42(3):855 View
  54. Hilbers D, Nekain N, Bates A, Nunez J, De Silva D. Patients’ attitudes toward artificial intelligence (AI) in cancer care: A scoping review protocol. PLOS ONE 2025;20(1):e0317276 View
  55. Backes C, Godot C, Gujer C, Obegi N, Perez A, Gervaix A, Schneider M. Digital healthcare services in community pharmacies in Switzerland: Pharmacist and patient acceptability, and pharmacist readiness–the Pneumoscope™ pilot study. DIGITAL HEALTH 2025;11 View
  56. Henn J, Vandemeulebroucke T, Hatterscheidt S, Dohmen J, Kalff J, van Wynsberghe A, Matthaei H. German surgeons’ perspective on the application of artificial intelligence in clinical decision-making. International Journal of Computer Assisted Radiology and Surgery 2025;20(5):825 View
  57. Arango S, Flynn J, Zeitlin J, Payne S, Miller A, Weir T. Patient Perceptions of Artificial Intelligence in Hand Surgery: A Survey of 511 Patients Presenting to a Hand Surgery Clinic. The Journal of Hand Surgery 2025;50(11):1410.e1 View
  58. Jain R, Garg N, Khera S. Adaption and validation of the algorithm aversion scale and its relationship with neuroticism and trust. Journal of Organizational Change Management 2025;38(2):458 View
  59. Carl N, Haggenmüller S, Wies C, Nguyen L, Winterstein J, Hetz M, Mangold M, Hartung F, Grüne B, Holland‐Letz T, Michel M, Brinker T, Wessels F. Evaluating interactions of patients with large language models for medical information. BJU International 2025;135(6):1010 View
  60. Hajiheydari N, Delgosha M, Saheb T. AI in medical diagnosis: A contextualised study of patient motivations and concerns. Social Science & Medicine 2025;371:117850 View
  61. Isaac A, Klontzas M, Dalili D, Akdogan A, Fawzi M, Gugliemi G, Filippiadis D. Revolutionising osseous biopsy: the impact of artificial intelligence in the era of personalized medicine. British Journal of Radiology 2025;98(1170):795 View
  62. Gundlack J, Negash S, Thiel C, Buch C, Schildmann J, Unverzagt S, Mikolajczyk R, Frese T. Artificial Intelligence in Medical Care – Patients' Perceptions on Caregiving Relationships and Ethics: A Qualitative Study. Health Expectations 2025;28(2) View
  63. Ben Hmido S, Abder Rahim H, Ploem C, Haitjema S, Damman O, Kazemier G, Daams F. Patient perspectives on AI-based decision support in surgery. BMJ Surgery, Interventions, & Health Technologies 2025;7(1):e000365 View
  64. Tirapelli C, Gaêta-Araujo H, Costa E, Scarfe W, Oliveira-Santos C, Fischer K, Grosgogeat B, Szonyi V, Melo P, Ruiz-Marrara J, Bolstad N, Spin-Neto R, Pauwels R. Patient perceptions of artificial intelligence in dental imaging diagnostics: a multicentre survey. Dentomaxillofacial Radiology 2025;54(6):427 View
  65. Arbelaez Ossa L, Rost M, Bont N, Lorenzini G, Shaw D, Elger B. Exploring Patient Participation in AI-Supported Health Care: Qualitative Study. JMIR AI 2025;4:e50781 View
  66. Dao H, Nguyen L, Linh Dan D, Mai N. Determinants of consumer intention to adopt medical AI in an emerging economy: the role of self-concept and initial trust. Telematics and Informatics Reports 2025;18:100213 View
  67. Lawrence R, Dodsworth E, Massou E, Sherlaw-Johnson C, Ramsay A, Walton H, O'Regan T, Gleeson F, Crellin N, Herbert K, Ng P, Elphinstone H, Mehta R, Lloyd J, Halliday A, Morris S, Fulop N. Artificial intelligence for diagnostics in radiology practice: a rapid systematic scoping review. eClinicalMedicine 2025;83:103228 View
  68. Gundlack J, Thiel C, Negash S, Buch C, Apfelbacher T, Denny K, Christoph J, Mikolajczyk R, Unverzagt S, Frese T. Patients’ Perceptions of Artificial Intelligence Acceptance, Challenges, and Use in Medical Care: Qualitative Study. Journal of Medical Internet Research 2025;27:e70487 View
  69. Thurzo A, Thurzo V. Embedding Fear in Medical AI: A Risk-Averse Framework for Safety and Ethics. AI 2025;6(5):101 View
  70. Costa E, Vieira M, Ambrosano G, Gaêta-Araujo H, Carneiro J, Zancan B, Scaranti A, Macedo A, Tirapelli C. Artificial intelligence in dentistry: awareness among dentists and computer scientists. Oral Radiology 2025;41(4):532 View
  71. Schneider D, Liedtke W, Klausen A, Lipprandt M, Funer F, Bratan T, Heyen N, Aichinger H, Langanke M. Indecision on the use of artificial intelligence in healthcare—A qualitative study of patient perspectives on trust, responsibility and self-determination using AI-CDSS. DIGITAL HEALTH 2025;11 View
  72. Osnat B. Patient perspectives on artificial intelligence in healthcare: A global scoping review of benefits, ethical concerns, and implementation strategies. International Journal of Medical Informatics 2025;203:106007 View
  73. Busch F, Hoffmann L, Xu L, Zhang L, Hu B, García-Juárez I, Toapanta-Yanchapaxi L, Gorelik N, Gorelik V, Rodriguez-Granillo G, Ferrarotti C, Cuong N, Thi C, Tuncel M, Kaya G, Solis-Barquero S, Mendez Avila M, Ivanova N, Kitamura F, Hayama K, Puntunet Bates M, Torres P, Ortiz-Prado E, Izquierdo-Condoy J, Schwarz G, Hofstaetter J, Hide M, Takeda K, Perić B, Pilko G, Thulesius H, Lindow T, Kolawole I, Olatoke S, Grzybowski A, Corlateanu A, Iaconi O, Li T, Domitrz I, Kępczyńska K, Mihalčin M, Fašaneková L, Zatoński T, Fułek K, Molnár A, Maihoub S, da Silva Gama Z, Saba L, Sountoulides P, Makowski M, Aerts H, Adams L, Bressem K, Navarro Á, Águas C, Aineseder M, Alomar M, Al Sliman R, Anand G, Angkurawaranon S, Aoki S, Arkoh S, Ashraf G, Astri Y, Bakhshi S, Bayramov N, Billis A, Bitencourt A, Bolejko A, Bollas Becerra A, Bwambale J, Capela A, Cau R, Chacon-Acevedo K, Chaunzwa T, Chojniak R, Clements W, Cuocolo R, Dahlblom V, Sousa K, Villarrubia J, Desai V, Dhakal A, Dignum V, Andrade R, Ferraioli G, Ganguly S, Garg H, Savevska C, Radovikj M, Gkartzoni A, Gorospe L, Griffin I, Hadamitzky M, Ndahiro M, Hering A, Hochhegger B, Huseynova M, Ishida F, Jha N, Jiang L, Kader R, Kavnoudias H, Klein C, Kolostoumpis G, Koshy A, Kruger N, Löser A, Lucijanic M, Mantziari D, Margue G, McFadden S, Miyake M, Morakote W, Ngabonziza I, Nguyen T, Niehues S, Nortje M, Palaian S, Pentara N, de Almeida R, Poma G, Purwoko M, Pyrgidis N, Rafailidis V, Rainey C, Ribeiro J, Agudelo N, Sado K, Saidman J, Saturno-Hernandez P, Suryadevara V, Schulz G, Soric E, Soto-Pérez-Olivares J, Stanzione A, Struck J, Takaoka H, Tanioka S, Huyen T, Truhn D, van Dijk E, van Wijngaarden P, Wang Y, Weidlich M, Zhang S. Multinational Attitudes Toward AI in Health Care and Diagnostics Among Hospital Patients. JAMA Network Open 2025;8(6):e2514452 View
  74. Carrasco A, Escarzaga A, Gamez A, Rodriguez E, Xiong S, Carrasco K. Large Language Models in School Psychology Training Programs: Perceptions, Applications, and Ethical Challenges. Contemporary School Psychology 2025 View
  75. Baillie L, Stewart-Lord A, Thomas N, Frings D. Patients’, clinicians’ and developers’ perspectives and experiences of artificial intelligence in cardiac healthcare: A qualitative study. DIGITAL HEALTH 2025;11 View
  76. Xue X, Chen J, Xiao W, Wang C. How Does Artificial Intelligence Technology Influence Labor Share: The Role of Labor Structure Upgrading. Systems 2025;13(7):586 View
  77. Nofal H, Mohamed A, Almadani N, Mahfouz R, Bahri H, Ali H, Elrafey D. The impact of an artificial intelligence enhancement program on healthcare providers’ knowledge, attitudes, and workplace flourishing. Frontiers in Public Health 2025;13 View
  78. McGhee K, Barrett D, Safarini O, Elkassem A, Eddins J, Smith A, Rothenberg S. Patient Preferences for Artificial Intelligence in Medical Imaging: A Single-Center Cross-Sectional Survey. Journal of Imaging Informatics in Medicine 2025 View
  79. Thaldar D, Bottomley D. Public trust of AI in healthcare in South Africa: results of a survey. BMC Medical Ethics 2025;26(1) View
  80. Natali C, Marconi L, Dias Duran L, Cabitza F. AI-induced Deskilling in Medicine: A Mixed-Method Review and Research Agenda for Healthcare and Beyond. Artificial Intelligence Review 2025;58(11) View
  81. Breuler C, Prescher H. Ethics and Policy Challenges in Applying Artificial Intelligence in Medicine. Hand Clinics 2026;42(1):85 View
  82. Krogh M, Germund Nielsen M, Byskov Petersen G, Jensen M, Jensen M, Vorum H, Bruun N, Kolding Kristensen J. Patient acceptance of AI-assisted diabetic retinopathy screening in primary care: findings from a questionnaire-based feasibility study. Frontiers in Medicine 2025;12 View
  83. Ameri S, Mehran N, Margolies L. Patient perception of artificial intelligence in breast imaging: A pilot survey study. Clinical Imaging 2025;128:110649 View
  84. Chen X, Wang Y, Sun X. Exploring factors in AI-based healthcare services adoption: integrating cognitive, social and technical perspectives. Asia Pacific Journal of Marketing and Logistics 2025:1 View
  85. Zhu X, Stroud A, Minteer S, Yoo D, Ridgeway J, Mooghali M, Miller J, Barry B. Key information influencing patient decision-making about AI in healthcare: A survey experiment (Preprint). Journal of Medical Internet Research 2025 View
  86. Yaméogo R, Somda A, Zabsonré P, Colloc J. Construire une intelligence artificielle de confiance en santé. Communication, technologies et développement 2025;17 View
  87. Mundzic A, Bogdanffy R, Sundemo D, Sundvall P, Widén J, Nymberg P, Wikberg C, Moberg A, Gunnarsson R, Entezarjou A. Exploring Primary Care Patients’ Perspectives on Artificial Intelligence: Systematic Literature Review and Qualitative Meta-Synthesis. JMIR AI 2025;4:e72211 View
  88. Fee N, Glover L, Bauman R, Crosby D. Patient perceptions on the use of artificial intelligence (AI) in fertility treatment. Human Fertility 2025;28(1) View

Books/Policy Documents

  1. Durrah O, Aldhmour F, El-Maghraby L, Chakir A. Engineering Applications of Artificial Intelligence. View
  2. Al-Afeef M, Alsmadi A, Al Shbail M. The Digital Edge: Transforming Business Systems for Strategic Success. View