Published on in Vol 23, No 11 (2021): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25856, first published .
Patients’ Perceptions Toward Human–Artificial Intelligence Interaction in Health Care: Experimental Study

Patients’ Perceptions Toward Human–Artificial Intelligence Interaction in Health Care: Experimental Study

Patients’ Perceptions Toward Human–Artificial Intelligence Interaction in Health Care: Experimental Study

Journals

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  3. 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
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  5. Wilson N. CORR Insights®: Can a Deep Learning Algorithm Improve Detection of Occult Scaphoid Fractures in Plain Radiographs? A Clinical Validation Study. Clinical Orthopaedics & Related Research 2023;481(9):1836 View
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  7. Huo W, Yuan X, Li X, Luo W, Xie J, Shi B. Increasing acceptance of medical AI: The role of medical staff participation in AI development. International Journal of Medical Informatics 2023;175:105073 View
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  15. Wang B, Asan O, Mansouri M. Perspectives of Patients With Chronic Diseases on Future Acceptance of AI–Based Home Care Systems: Cross-Sectional Web-Based Survey Study. JMIR Human Factors 2023;10:e49788 View
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  17. Ferro M, Falagario U, Barone B, Maggi M, Crocetto F, Busetto G, Giudice F, Terracciano D, Lucarelli G, Lasorsa F, Catellani M, Brescia A, Mistretta F, Luzzago S, Piccinelli M, Vartolomei M, Jereczek-Fossa B, Musi G, Montanari E, Cobelli O, Tataru O. Artificial Intelligence in the Advanced Diagnosis of Bladder Cancer-Comprehensive Literature Review and Future Advancement. Diagnostics 2023;13(13):2308 View
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  19. Busch F, Adams L, Bressem K. Biomedical Ethical Aspects Towards the Implementation of Artificial Intelligence in Medical Education. Medical Science Educator 2023;33(4):1007 View
  20. Tang L, Li J, Fantus S. Medical artificial intelligence ethics: A systematic review of empirical studies. DIGITAL HEALTH 2023;9 View
  21. 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
  22. Alanzi T, Almahdi R, Alghanim D, Almusmili L, Saleh A, Alanazi S, Alshobaki K, Attar R, Al Qunais A, Alzahrani H, Alshehri R, Sulail A, Alblwi A, Alanzi N, Alanzi N. Factors Affecting the Adoption of Artificial Intelligence-Enabled Virtual Assistants for Leukemia Self-Management. Cureus 2023 View
  23. 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
  24. Bhandarkar S, Tsutsumi A, Schneider E, Ong C, Paredes L, Brackett A, Ahuja V. Emergent Applications of Machine Learning for Diagnosing and Managing Appendicitis: A State-of-the-Art Review. Surgical Infections 2024;25(1):7 View
  25. Sassi Z, Hahn M, Eickmann S, Herrmann-Johns A, Tretter M. Beyond algorithmic trust: interpersonal aspects on consent delegation to LLMs. Journal of Medical Ethics 2024;50(2):139 View
  26. Gavette H, McDonald C, Kostick-Quenet K, Mullen A, Najafi B, Finco M. Advances in prosthetic technology: a perspective on ethical considerations for development and clinical translation. Frontiers in Rehabilitation Sciences 2024;4 View
  27. 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
  28. Mani Z, Chouk I. Résistance initiale du consommateur aux technologies autonomes de l’Intelligence Artificielle Médicale : une approche par les préoccupations liées à la santé. Décisions Marketing 2024;N° 112(4):7 View
  29. Ng J, Cramer H, Lee M, Moher D. Traditional, complementary, and integrative medicine and artificial intelligence: Novel opportunities in healthcare. Integrative Medicine Research 2024;13(1):101024 View
  30. Fazakarley C, Breen M, Thompson B, Leeson P, Williamson V. Beliefs, experiences and concerns of using artificial intelligence in healthcare: A qualitative synthesis. DIGITAL HEALTH 2024;10 View
  31. Wong C, O’Byrne C, Taribagil P, Liu T, Antaki F, Keane P. Comparing code-free and bespoke deep learning approaches in ophthalmology. Graefe's Archive for Clinical and Experimental Ophthalmology 2024;262(9):2785 View
  32. Nasir S, Khan R, Bai S. Ethical Framework for Harnessing the Power of AI in Healthcare and Beyond. IEEE Access 2024;12:31014 View
  33. 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
  34. 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
  35. Guo S, Li R, Li G, Chen W, Huang J, He L, Ma Y, Wang L, Zheng H, Tian C, Zhao Y, Pan X, Wan H, Liu D, Li Z, Lei J. Comparing ChatGPT's and Surgeon's Responses to Thyroid-related Questions From Patients. The Journal of Clinical Endocrinology & Metabolism 2024 View
  36. Deriu V, Pozharliev R, De Angelis M. How trust and attachment styles jointly shape job candidates’ AI receptivity. Journal of Business Research 2024;179:114717 View
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  44. Alanezi F. Factors influencing patients’ engagement with ChatGPT for accessing health-related information. Critical Public Health 2024;34(1):1 View
  45. Benda N, Desai P, Reza Z, Zheng A, Kumar S, Harkins S, Hermann A, Zhang Y, Joly R, Kim J, Pathak J, Reading Turchioe M. Patient Perspectives on AI for Mental Health Care: Cross-Sectional Survey Study. JMIR Mental Health 2024;11:e58462 View
  46. Adegbesan A, Akingbola A, Aremu O, Adewole O, Amamdikwa J, Shagaya U. From Scalpels to Algorithms: The Risk of Dependence on Artificial Intelligence in Surgery. Journal of Medicine, Surgery, and Public Health 2024;3:100140 View
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  49. Artsi Y, Sorin V, Glicksberg B, Nadkarni G, Klang E. Advancing Clinical Practice: The Potential of Multimodal Technology in Modern Medicine. Journal of Clinical Medicine 2024;13(20):6246 View
  50. Perfalk E, Bernstorff M, Danielsen A, Østergaard S. Patient trust in the use of machine learning-based clinical decision support systems in psychiatric services: A randomized survey experiment. European Psychiatry 2024;67(1) View
  51. Guo Y, Kühler M. History, AI and utilitarianism. AI and Ethics 2024 View
  52. Li S, Chen M, Liu P, Xu J. Following Medical Advice of an AI or a Human Doctor? Experimental Evidence Based on Clinician-Patient Communication Pathway Model. Health Communication 2024:1 View
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Books/Policy Documents

  1. Saxena A, Chauhan S, Singh H, Chauhan U, Kumari P. Infrastructure Possibilities and Human-Centered Approaches With Industry 5.0. View
  2. Durrah O, Aldhmour F, El-Maghraby L, Chakir A. Engineering Applications of Artificial Intelligence. View
  3. Zaabi A, Padela A. Digital Healthcare in Asia and Gulf Region for Healthy Aging and More Inclusive Societies. View
  4. Mohammed A, AL-Abrrow H, Thajil K, Alnoor A, Abbas S. Explainable Artificial Intelligence in the Digital Sustainability Administration. View
  5. Abidi N, Abidi Z, Hanrahan B, Parampreet Kaur M, Kerego Y, Ng Pellegrino A, Thulasi V. Artificial Intelligence in Medicine and Surgery - An Exploration of Current Trends, Potential Opportunities, and Evolving Threats - Volume 2 [Working Title]. View
  6. Khan W, Shayan Khan M, Khan N, Ahmad A, Siddiqui Z, Brojen Singh R, Zubbair Malik M. Artificial Intelligence in Biomedical and Modern Healthcare Informatics. View