Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40337, first published .
Surveying Public Perceptions of Artificial Intelligence in Health Care in the United States: Systematic Review

Surveying Public Perceptions of Artificial Intelligence in Health Care in the United States: Systematic Review

Surveying Public Perceptions of Artificial Intelligence in Health Care in the United States: Systematic Review

Journals

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  2. Kim S, Tae J, Chang I, Kim T, Myung S, Nguyen T, Choi J, Kim J, Kim J, Lee Y, Choi S. Changes in patient perceptions regarding ChatGPT-written explanations on lifestyle modifications for preventing urolithiasis recurrence. DIGITAL HEALTH 2023;9 View
  3. Li L, Peng W, Rheu M. Factors Predicting Intentions of Adoption and Continued Use of Artificial Intelligence Chatbots for Mental Health: Examining the Role of UTAUT Model, Stigma, Privacy Concerns, and Artificial Intelligence Hesitancy. Telemedicine and e-Health 2024;30(3):722 View
  4. 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
  5. Barwise A, Curtis S, Diedrich D, Pickering B. Using artificial intelligence to promote equitable care for inpatients with language barriers and complex medical needs: clinical stakeholder perspectives. Journal of the American Medical Informatics Association 2024;31(3):611 View
  6. He X, Zheng X, Ding H. Existing Barriers Faced by and Future Design Recommendations for Direct-to-Consumer Health Care Artificial Intelligence Apps: Scoping Review. Journal of Medical Internet Research 2023;25:e50342 View
  7. Bozkurt V, Gursoy D. The Artificial Intelligence Paradox: Opportunity or Threat for Humanity?. International Journal of Human–Computer Interaction 2025;41(1):174 View
  8. Larson H, Lin L. Generative artificial intelligence can have a role in combating vaccine hesitancy. BMJ 2024:q69 View
  9. Wu H, Jin K, Yip C, Koh V, Ye J. A systematic review of economic evaluation of artificial intelligence-based screening for eye diseases: From possibility to reality. Survey of Ophthalmology 2024;69(4):499 View
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  11. Alkhatieb M, Subke A. Artificial Intelligence in Healthcare: A Study of Physician Attitudes and Perceptions in Jeddah, Saudi Arabia. Cureus 2024 View
  12. Qi W, Pan J, Lyu H, Luo J. Excitements and concerns in the post-ChatGPT era: Deciphering public perception of AI through social media analysis. Telematics and Informatics 2024;92:102158 View
  13. Ardabili B, Danesh Pazho A, Alinezhad Noghre G, Katariya V, Hull G, Reid S, Tabkhi H. Exploring Public's perception of safety and video surveillance technology: A survey approach. Technology in Society 2024;78:102641 View
  14. Jackson A, Hirsch B. Changing the workflow – Artificial intelligence in radiologic sciences. Journal of Medical Imaging and Radiation Sciences 2024;55(4):101710 View
  15. Spennemann D. Generative Artificial Intelligence, Human Agency and the Future of Cultural Heritage. Heritage 2024;7(7):3597 View
  16. 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
  17. Monteith S, Glenn T, Geddes J, Achtyes E, Whybrow P, Bauer M. Differences between human and artificial/augmented intelligence in medicine. Computers in Human Behavior: Artificial Humans 2024;2(2):100084 View
  18. Howell M. Generative artificial intelligence, patient safety and healthcare quality: a review. BMJ Quality & Safety 2024;33(11):748 View
  19. Sharma N. Use of AI in Pediatric Occupational Therapy: A Review. Rehabilitation Science 2024;9(2):21 View
  20. Abbasi M, Somai M, Saber H. The trend of artificial intelligence application in medicine and neurology; the state-of-the-art systematic scoping review 2010–2022. Intelligence-Based Medicine 2024;10:100179 View
  21. Kumar S, Rayal S, Bommaraju R, Varasala N, Papineni S, Deo S. Understanding Providers’ Attitude Toward AI in India’s Informal Health Care Sector: Survey Study. JMIR Formative Research 2025;9:e54156 View
  22. Mantello P, Ghotbi N, Ho M, Mizutani F. Gauging public opinion of AI and emotionalized AI in healthcare: findings from a nationwide survey in Japan. AI & SOCIETY 2025;40(5):3735 View
  23. Hassan N, Slight R, Bimpong K, Bates D, Weiand D, Vellinga A, Morgan G, Slight S. Systematic review to understand users perspectives on AI-enabled decision aids to inform shared decision making. npj Digital Medicine 2024;7(1) View
  24. Yang Y, Shen H, Chen K, Li X. From pixels to patients: the evolution and future of deep learning in cancer diagnostics. Trends in Molecular Medicine 2025;31(6):548 View
  25. Diniz C, Borges A, Magalhães J, Pereira E, Alves Í, Soares A, Holanda M, Silva S, Rocha T, Vieira T. USO DE INTELIGÊNCIA ARTIFICIAL NO PROCESSO AVALIATIVO DO RESIDENTE MULTIPROFISSIONAL DE SAÚDE: UMA REVISÃO DA LITERATURA. REVISTA FOCO 2024;17(12):e7333 View
  26. Rinaldi G, Theodorakos K, Crema Garcia F, Agudelo O, De Moor B. DSS4EX: A Decision Support System framework to explore Artificial Intelligence pipelines with an application in time series forecasting. Expert Systems with Applications 2025;269:126421 View
  27. Palm R, Kingsland J, Bolsen T. Framing Affects Support for the Development of Artificial Intelligence in the United States. Science Communication 2025;47(5):730 View
  28. Koirala P, Thongprayoon C, Miao J, Garcia Valencia O, Sheikh M, Suppadungsuk S, Mao M, Pham J, Craici I, Cheungpasitporn W. Evaluating AI performance in nephrology triage and subspecialty referrals. Scientific Reports 2025;15(1) View
  29. Smoła P, Młoźniak I, Wojcieszko M, Zwierczyk U, Kobryn M, Rzepecka E, Duplaga M. Attitudes toward artificial intelligence and robots in healthcare in the general population: a qualitative study. Frontiers in Digital Health 2025;7 View
  30. 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
  31. Bedenik T, Cahir C, Bennett K. I don’t mind my information going to the Moon, but I don’t want any letters from Mars: a qualitative exploration of the challenges with secondary use of health data in Ireland. Archives of Public Health 2025;83(1) View
  32. Davis V, Qiang J, Adekoya MacCarthy I, Howse D, Seshie A, Kosowan L, Delahunty-Pike A, Abaga E, Cooney J, Robinson M, Senior D, Zsager A, Aubrey-Bassler K, Irwin M, Jackson L, Katz A, Marshall E, Muhajarine N, Neudorf C, Garies S, Pinto A. Perspectives on Using Artificial Intelligence to Derive Social Determinants of Health Data From Medical Records in Canada: Large Multijurisdictional Qualitative Study. Journal of Medical Internet Research 2025;27:e52244 View
  33. Gnambs T, Stein J, Zinn S, Griese F, Appel M. Attitudes, experiences, and usage intentions of artificial intelligence: A population study in Germany. Telematics and Informatics 2025;98:102265 View
  34. 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
  35. Reddy S. The role of AI and machine learning in optimizing insulin therapy: a comparative study. International Journal Of Community Medicine And Public Health 2025;12(4):1873 View
  36. Cooney-Waterhouse T, Ou W, Mukherji S, Frytak J, Saha P, Waterhouse D. Bridging the Trust Gap in Artificial Intelligence for Health care: Lessons from Clinical Oncology. AI in Precision Oncology 2025;2(3):85 View
  37. Chen C, Cui Z. Impact of AI-Assisted Diagnosis on American Patients’ Trust in and Intention to Seek Help From Health Care Professionals: Randomized, Web-Based Survey Experiment. Journal of Medical Internet Research 2025;27:e66083 View
  38. Woode M, De Silva Perera U, Degeling C, Aquino Y, Houssami N, Carter S, Chen G. Preferences for the Use of Artificial Intelligence for Breast Cancer Screening in Australia: A Discrete Choice Experiment. The Patient - Patient-Centered Outcomes Research 2025;18(5):495 View
  39. Yousefi F, Naye F, Ouellet S, Yameogo A, Sasseville M, Bergeron F, Ozkan M, Cousineau M, Amil S, Rhéaume C, Gagnon M. Artificial Intelligence in Health Promotion and Disease Reduction: Rapid Review. Journal of Medical Internet Research 2025;27:e70381 View
  40. Gao X, Mi W, Feng X. Personal health data protection and intelligent healthcare applications under generative adversarial network. Scientific Reports 2025;15(1) View
  41. 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
  42. Wang B, Asan O, Alelyani T. Exploring policy and regulations of clinical AI systems: Views from patients with chronic diseases. Health Policy and Technology 2025;14(5):101035 View
  43. 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
  44. Luo X, Wang B, Li Y, Liu S, Li H, Ren Y, Yang W, Lam K, Ali S, Sharp G, Moraes F, Wang Y, Zhu D, Yang Z, Mohammad D, Fruscio R, Kamel Boulos M, Lin Z, Ide K, Song X, Zhang L, Tham Y, Liu H, Ge L, Chen Y, Bian Z. Knowledge and Awareness of Generative Artificial Intelligence Use in Medicine Among International Stakeholders: A Cross‐Sectional Study. Journal of Evidence-Based Medicine 2025;18(2) View
  45. Foresman G, Biro J, Tran A, MacRae K, Kazi S, Schubel L, Visconti A, Gallagher W, Smith K, Giardina T, Haskell H, Miller K. Patient Perspectives on Artificial Intelligence in Health Care: Focus Group Study for Diagnostic Communication and Tool Implementation. Journal of Participatory Medicine 2025;17:e69564 View
  46. Sharma N. Artificial Intelligence and Occupational Therapy. SBV Journal of Basic, Clinical and Applied Health Science 2025;8(2):45 View
  47. Mazzi F. Evaluating the normative implications of national and international artificial intelligence policies for Sustainable Development Goal 3: good health and well-being. Health Affairs Scholar 2025;3(6) View
  48. Hussain S, Bresnahan M, Zhuang J. Can artificial intelligence revolutionize healthcare in the Global South? A scoping review of opportunities and challenges. DIGITAL HEALTH 2025;11 View
  49. Sharif L, Almabadi R, Alahmari A, Alqurashi F, Alsahafi F, Qusti S, Akash W, Mahsoon A, Poudel D, Sharif K, Wright R. Perceptions of mental health professionals towards artificial intelligence in mental healthcare: a cross-sectional study. Frontiers in Psychiatry 2025;16 View
  50. Lee J, Yoo W, Kim H. Advancing artificial intelligence ethics in health and genomics: lessons from a public survey in South Korea. Frontiers in Genetics 2025;16 View
  51. Wenderott K, Krups J, Weigl M, Wooldridge A. Facilitators and Barriers to Implementing AI in Routine Medical Imaging: Systematic Review and Qualitative Analysis. Journal of Medical Internet Research 2025;27:e63649 View
  52. Takahashi G, von Liechti L, Tarshizi E. Quo vadis, "AI-empowered Doctor"? (Preprint). JMIR Medical Education 2024 View
  53. Nadeem M, Aslam F, Rehman M, Aslam S. Role of Social Factors in the Adoption of AI-Driven Personalized Healthcare. Journal of Artificial Intelligence in Bioinformatics 2025;1(1):30 View
  54. Tan L, Nguyen N, Lopez E, Peverini D, Shedd M, Alismail A, Nguyen H. Artificial Intelligence in the Management of Asthma: A Review of a New Frontier in Patient Care. Journal of Asthma and Allergy 2025;Volume 18:1179 View
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  56. Thaldar D, Bottomley D. Public trust of AI in healthcare in South Africa: results of a survey. BMC Medical Ethics 2025;26(1) View
  57. Amberger O, Lemke D, Müller H, Lüttel D, Schwappach D, Geraedts M, Müller B. Public perceptions of digitalisation and patient safety: a cross-sectional survey in Germany. BMJ Open 2025;15(9):e100516 View
  58. Palm R, Kingsland J, Bolsen T. Trust, experience, and innovation: Key factors shaping American attitudes about AI. Public Understanding of Science 2025 View
  59. Wu Q, Liu X, Zhong R. Study of adoption of AI-generated health information in video platforms using SEM and fsQCA. Aslib Journal of Information Management 2025:1 View
  60. Do H, Bui T, Hoa Tran D, Nguyen H, Dinh L. Developing and validating an AI literacy scale for university students in Vietnam. IFLA Journal 2025 View
  61. Levai C, Nussbaum L, Popa D, Burtic S, Căpăstraru B, Jugănaru I. Patient Perspectives on AI- and XR-Enabled Telemedicine: A Cross-Sectional Survey in Romania. Healthcare 2025;13(21):2672 View
  62. Larenas-Linnemann D, Martínez-Larenas M, Iñigo-Padilla J, Bousquet J, Sousa-Pinto B, Luna-Pech J. Updates on Artificial Intelligence-Assisted Allergic Rhinitis and its Impact on Asthma Care Pathways. Immunology and Allergy Clinics of North America 2026;46(1):161 View
  63. Chandrasekaran R, Takale L, Moustakas E. Listening to Patients’ Voices on the Use of AI in Health Care: Cross-Sectional Study. Journal of Medical Internet Research 2025;27:e77501 View
  64. 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
  65. Li H, Zhang S, Tao L, Li X, Liu J. Acceptance of healthcare services based on the large language model in China: a national cross-sectional study. BMC Public Health 2025;25(1) View
  66. O’Hara C, Kent G, Leydon C, Walsh N, Gibney E, Skoutas D, Flynn A, Timon C. Language Models in Nutrition and Dietetics: A Scoping Review. The American Journal of Clinical Nutrition 2025:101127 View
  67. Courtois S, Barnes M, Gibson J. “It Depends on the Choices that Are Made Now.” Parental Perspectives on the Use of Automated Methods in Early Childhood Developmental Checks. Early Childhood Education Journal 2025 View
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Books/Policy Documents

  1. Williams N. Artificial Intelligence and Healthcare. View
  2. Muthmainnah M, Al Yakin A, NurJannah , Mursidin M, Al Aqad M. Driving Smart Medical Diagnosis Through AI-Powered Technologies and Applications. View

Conference Proceedings

  1. Ghimire S, Sitaula J, Karki S, Khatri D, Jha S. 2024 6th International Conference on Advancements in Computing (ICAC). Benefits and Implication in Artificial Intelligence (AI) Adoption in the Health Sector: A Survey of Cultural, Privacy, and Legal Issues in Nepal View
  2. Lee J, Jung K, Newman E, Chow E, Chen Y. Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems. Understanding Adolescents' Perceptions of Benefits and Risks in Health AI Technologies through Design Fiction View
  3. Parker A, Vardoulakis L, Alla J, Harrington C. Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems. Participatory AI Considerations for Advancing Racial Health Equity View