Published on in Vol 22, No 7 (2020): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16649, first published .
Public Perception of Artificial Intelligence in Medical Care: Content Analysis of Social Media

Public Perception of Artificial Intelligence in Medical Care: Content Analysis of Social Media

Public Perception of Artificial Intelligence in Medical Care: Content Analysis of Social Media

Authors of this article:

Shuqing Gao1 Author Orcid Image ;   Lingnan He2, 3 Author Orcid Image ;   Yue Chen2 Author Orcid Image ;   Dan Li4 Author Orcid Image ;   Kaisheng Lai4 Author Orcid Image

Journals

  1. Lennartz S, Dratsch T, Zopfs D, Persigehl T, Maintz D, Große Hokamp N, Pinto dos Santos D. Use and Control of Artificial Intelligence in Patients Across the Medical Workflow: Single-Center Questionnaire Study of Patient Perspectives. Journal of Medical Internet Research 2021;23(2):e24221 View
  2. Yigitcanlar T, Kankanamge N, Regona M, Ruiz Maldonado A, Rowan B, Ryu A, Desouza K, Corchado J, Mehmood R, Li R. Artificial Intelligence Technologies and Related Urban Planning and Development Concepts: How Are They Perceived and Utilized in Australia?. Journal of Open Innovation: Technology, Market, and Complexity 2020;6(4):187 View
  3. Romero R, Young S. Public perceptions and implementation considerations on the use of artificial intelligence in health. Journal of Evaluation in Clinical Practice 2022;28(1):75 View
  4. Albarrán Lozano I, Molina J, Gijón C. Perception of Artificial Intelligence in Spain. Telematics and Informatics 2021;63:101672 View
  5. Aggarwal R, Farag S, Martin G, Ashrafian H, Darzi A. Patient Perceptions on Data Sharing and Applying Artificial Intelligence to Health Care Data: Cross-sectional Survey. Journal of Medical Internet Research 2021;23(8):e26162 View
  6. 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
  7. Gupta P, Marigi E, Sanchez-Sotelo J. Research on artificial intelligence in shoulder and elbow surgery is increasing. JSES International 2023;7(1):158 View
  8. Cushnan D, Berka R, Bertolli O, Williams P, Schofield D, Joshi I, Favaro A, Halling-Brown M, Imreh G, Jefferson E, Sebire N, Reilly G, Rodrigues J, Robinson G, Copley S, Malik R, Bloomfield C, Gleeson F, Crotty M, Denton E, Dickson J, Leeming G, Hardwick H, Baillie K, Openshaw P, Semple M, Rubin C, Howlett A, Rockall A, Bhayat A, Fascia D, Sudlow C, Jacob J. Towards nationally curated data archives for clinical radiology image analysis at scale: Learnings from national data collection in response to a pandemic. DIGITAL HEALTH 2021;7 View
  9. Wu J, Xu L, Yu F, Peng K. Acceptance of Medical Treatment Regimens Provided by AI vs. Human. Applied Sciences 2021;12(1):110 View
  10. Ng W, Zhang S, Wang Z, Ong C, Gunasekeran D, Lim G, Zheng F, Tan S, Tan G, Rim T, Schmetterer L, Ting D. Updates in deep learning research in ophthalmology. Clinical Science 2021;135(20):2357 View
  11. Singhal A, Baxi M, Mago V. Synergy Between Public and Private Health Care Organizations During COVID-19 on Twitter: Sentiment and Engagement Analysis Using Forecasting Models. JMIR Medical Informatics 2022;10(8):e37829 View
  12. Anagnoste S, Biclesanu I, Teodoroiu C, Bellini F. Artificial intelligence in healthcare: Public perception of robotic surgery. Proceedings of the International Conference on Business Excellence 2022;16(1):251 View
  13. Nader K, Toprac P, Scott S, Baker S. Public understanding of artificial intelligence through entertainment media. AI & SOCIETY 2024;39(2):713 View
  14. Visram S, Leyden D, Annesley O, Bappa D, Sebire N. Engaging children and young people on the potential role of artificial intelligence in medicine. Pediatric Research 2023;93(2):440 View
  15. Çitil E, Çitil Canbay F. Artificial intelligence and the future of midwifery: What do midwives think about artificial intelligence? A qualitative study. Health Care for Women International 2022;43(12):1510 View
  16. 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
  17. Yigitcanlar T, Degirmenci K, Inkinen T. Drivers behind the public perception of artificial intelligence: insights from major Australian cities. AI & SOCIETY 2022 View
  18. Yap A, Wilkinson B, Chen E, Han L, Vaghefi E, Galloway C, Squirrell D. Patients Perceptions of Artificial Intelligence in Diabetic Eye Screening. Asia-Pacific Journal of Ophthalmology 2022;11(3):287 View
  19. Čartolovni A, Tomičić A, Lazić Mosler E. Ethical, legal, and social considerations of AI-based medical decision-support tools: A scoping review. International Journal of Medical Informatics 2022;161:104738 View
  20. 李 倍. Meta Analysis of Mental Health Problems of Medical Staff under COVID-19. Advances in Applied Mathematics 2022;11(11):7533 View
  21. Andeobu L, Wibowo S, Grandhi S. Artificial intelligence applications for sustainable solid waste management practices in Australia: A systematic review. Science of The Total Environment 2022;834:155389 View
  22. Brons A, Braam K, Broekema A, Timmerman A, Millenaar K, Engelbert R, Kröse B, Visser B. Translating Promoting Factors and Behavior Change Principles Into a Blended and Technology-Supported Intervention to Stimulate Physical Activity in Children With Asthma (Foxfit): Design Study. JMIR Formative Research 2022;6(7):e34121 View
  23. Ploug T, Sundby A, Moeslund T, Holm S. Population Preferences for Performance and Explainability of Artificial Intelligence in Health Care: Choice-Based Conjoint Survey. Journal of Medical Internet Research 2021;23(12):e26611 View
  24. Rakovic K, Colling R, Browning L, Dolton M, Horton M, Protheroe A, Lamb A, Bryant R, Scheffer R, Crofts J, Stanislaus E, Verrill C. The Use of Digital Pathology and Artificial Intelligence in Histopathological Diagnostic Assessment of Prostate Cancer: A Survey of Prostate Cancer UK Supporters. Diagnostics 2022;12(5):1225 View
  25. Horowitz M, Kahn L, Delcea C. What influences attitudes about artificial intelligence adoption: Evidence from U.S. local officials. PLOS ONE 2021;16(10):e0257732 View
  26. Nadarzynski T, Puentes V, Pawlak I, Mendes T, Montgomery I, Bayley J, Ridge D, Newman C. Barriers and facilitators to engagement with artificial intelligence (AI)-based chatbots for sexual and reproductive health advice: a qualitative analysis. Sexual Health 2021;18(5):385 View
  27. Dong X, Lian Y. A review of social media-based public opinion analyses: Challenges and recommendations. Technology in Society 2021;67:101724 View
  28. Cinelli M, Peruzzi A, Schmidt A, Villa R, Costa E, Quattrociocchi W, Zollo F, Guidi B. Promoting engagement with quality communication in social media. PLOS ONE 2022;17(10):e0275534 View
  29. 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
  30. Chew H, Achananuparp P. Perceptions and Needs of Artificial Intelligence in Health Care to Increase Adoption: Scoping Review. Journal of Medical Internet Research 2022;24(1):e32939 View
  31. Jermutus E, Kneale D, Thomas J, Michie S. Influences on User Trust in Healthcare Artificial Intelligence: A Systematic Review. Wellcome Open Research 2022;7:65 View
  32. Kuznetsova Y. Emotional Attitudes towards the Components of the Digital Environment (Based on the Text Analysis of Network Comments). RUDN Journal of Psychology and Pedagogics 2022;19(2):253 View
  33. Ngo B, Nguyen D, vanSonnenberg E. The Cases for and against Artificial Intelligence in the Medical School Curriculum. Radiology: Artificial Intelligence 2022;4(5) View
  34. Evans M, Britt D, Evans S, Devoe L. Changing Perspectives of Electronic Fetal Monitoring. Reproductive Sciences 2022;29(6):1874 View
  35. Tran A, Nguyen L, Nguyen H, Nguyen C, Vu L, Zhang M, Vu T, Nguyen S, Tran B, Latkin C, Ho R, Ho C. Determinants of Intention to Use Artificial Intelligence-Based Diagnosis Support System Among Prospective Physicians. Frontiers in Public Health 2021;9 View
  36. Martinho A, Kroesen M, Chorus C. A healthy debate: Exploring the views of medical doctors on the ethics of artificial intelligence. Artificial Intelligence in Medicine 2021;121:102190 View
  37. Wong D, Lam M, Ran A, Cheung C. Artificial intelligence in retinal imaging for cardiovascular disease prediction: current trends and future directions. Current Opinion in Ophthalmology 2022;33(5):440 View
  38. Young A, Amara D, Bhattacharya A, Wei M. Patient and general public attitudes towards clinical artificial intelligence: a mixed methods systematic review. The Lancet Digital Health 2021;3(9):e599 View
  39. GÜNEÇ H, GÖKYAY S, KAYA E, CESUR AYDIN K. TOPLUM YAPAY ZEKA İLE DENTAL TANI KONMASINA HAZIR MI?. Selcuk Dental Journal 2022;9(1):200 View
  40. Felsky D, Cannitelli A, Pipitone J. Whole Person Modeling: a transdisciplinary approach to mental health research. Discover Mental Health 2023;3(1) View
  41. Wagner W, Viidalepp A, Idoiaga-Mondragon N, Talves K, Lillemäe E, Pekarev J, Otsus M. Lay representations of artificial intelligence and autonomous military machines. Public Understanding of Science 2023;32(7):926 View
  42. 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
  43. Chen K, Cate A, Cheren H. Communicating Agriculture AI Technologies: How American Agricultural Producers’ Perception of Trustworthiness, Risk Perception, and Emotion Affect Their Likelihood of Adopting Artificial Intelligence in Food Systems. Environmental Communication 2023;17(8):1004 View
  44. Yam K, Tan T, Jackson J, Shariff A, Gray K. Cultural Differences in People's Reactions and Applications of Robots, Algorithms, and Artificial Intelligence. Management and Organization Review 2023;19(5):859 View
  45. Akinrinmade A, Adebile T, Ezuma-Ebong C, Bolaji K, Ajufo A, Adigun A, Mohammad M, Dike J, Okobi O. Artificial Intelligence in Healthcare: Perception and Reality. Cureus 2023 View
  46. Kerstan S, Bienefeld N, Grote G. Choosing human over AI doctors? How comparative trust associations and knowledge relate to risk and benefit perceptions of AI in healthcare. Risk Analysis 2024;44(4):939 View
  47. Huang Y, Cheung C, Li D, Tham Y, Sheng B, Cheng C, Wang Y, Wong T. AI-integrated ocular imaging for predicting cardiovascular disease: advancements and future outlook. Eye 2024;38(3):464 View
  48. Huang X, Wu X, Cao X, Wu J. The effect of medical artificial intelligence innovation locus on consumer adoption of new products. Technological Forecasting and Social Change 2023;197:122902 View
  49. 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
  50. 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
  51. Giannouli V. Financial capacity assessments and AI: A Greek drama for geriatric psychiatry?. International Journal of Geriatric Psychiatry 2023;38(9) View
  52. Rojahn J, Palu A, Skiena S, Jones J, Mahmoud A. American public opinion on artificial intelligence in healthcare. PLOS ONE 2023;18(11):e0294028 View
  53. Bozkurt V, Gursoy D. The Artificial Intelligence Paradox: Opportunity or Threat for Humanity?. International Journal of Human–Computer Interaction 2025;41(1):174 View
  54. Dlugatch R, Georgieva A, Kerasidou A. AI-driven decision support systems and epistemic reliance: a qualitative study on obstetricians’ and midwives’ perspectives on integrating AI-driven CTG into clinical decision making. BMC Medical Ethics 2024;25(1) View
  55. Bekbolatova M, Mayer J, Ong C, Toma M. Transformative Potential of AI in Healthcare: Definitions, Applications, and Navigating the Ethical Landscape and Public Perspectives. Healthcare 2024;12(2):125 View
  56. 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
  57. Weber S, Wyszynski M, Godefroid M, Plattfaut R, Niehaves B. How do medical professionals make sense (or not) of AI? A social-media-based computational grounded theory study and an online survey. Computational and Structural Biotechnology Journal 2024;24:146 View
  58. . Knowledge and perception of healthcare workers towards the adoption of artificial intelligence in healthcare service delivery in Nigeria. Salud Integral y Comunitaria 2023;1:16 View
  59. Zhao A, Li S, Cao Z, Hu P, Wang J, Xiang Y, Xie D, Lu X. AI for science: Predicting infectious diseases. Journal of Safety Science and Resilience 2024;5(2):130 View
  60. Sommer D, Schmidbauer L, Wahl F. Nurses’ perceptions, experience and knowledge regarding artificial intelligence: results from a cross-sectional online survey in Germany. BMC Nursing 2024;23(1) View
  61. He W, Zhang W, Jin Y, Zhou Q, Zhang H, Xia Q. Physician Versus Large Language Model Chatbot Responses to Web-Based Questions From Autistic Patients in Chinese: Cross-Sectional Comparative Analysis. Journal of Medical Internet Research 2024;26:e54706 View
  62. Zou X, Na Y, Lai K, Liu G. Unpacking public resistance to health Chatbots: a parallel mediation analysis. Frontiers in Psychology 2024;15 View
  63. Messelink M, Fadaei S, Verhoef L, Welsing P, Nijhof N, Westland H. Rheumatoid arthritis patients’ perspective on the use of prediction models in clinical decision-making. Rheumatology 2025;64(3):1045 View
  64. Zhang L, Dong P, Zhang L, Mu B, Yang A. A systematic literature review of crisis management in online public opinion: evolutionary path and implications for China. Kybernetes 2025;54(9):4866 View
  65. Newlands R, Bruhn H, Díaz M, Lip G, Anderson L, Ramsay C. A stakeholder analysis to prepare for real-world evaluation of integrating artificial intelligent algorithms into breast screening (PREP-AIR study): a qualitative study using the WHO guide. BMC Health Services Research 2024;24(1) View
  66. Mehmood K, Verleye K, De Keyser A, Lariviere B. The transformative potential of AI-enabled personalization across cultures. Journal of Services Marketing 2024;38(6):711 View
  67. Mishra M, Upadhyaya A. Investigating Factors Shaping Future Doctors' Willingness to Adopt AI Diagnosis Support Systems. SN Computer Science 2024;5(5) View
  68. Knauer J, Baumeister H, Schmitt A, Terhorst Y. Acceptance of smart sensing, its determinants, and the efficacy of an acceptance-facilitating intervention in people with diabetes: results from a randomized controlled trial. Frontiers in Digital Health 2024;6 View
  69. Fu Y, Dose D, Dimitriu R. Gift giving in the age of AI: The role of social closeness in using AI gift recommendation tools. Psychology & Marketing 2024;41(10):2214 View
  70. Lu L, Zhong Y, Luo S, Liu S, Xiao Z, Ding J, Shao J, Fu H, Xu J. Dilemmas and prospects of artificial intelligence technology in the data management of medical informatization in China: A new perspective on SPRAY-type AI applications. Health Informatics Journal 2024;30(2) View
  71. Freeman S, Stewart J, Kaard R, Ouliel E, Goudie A, Dwivedi G, Akhlaghi H. Health consumers' ethical concerns towards artificial intelligence in Australian emergency departments. Emergency Medicine Australasia 2024;36(5):768 View
  72. Kirkpatrick A, Boyd A, Hmielowski J. Who shares about AI? Media exposure, psychological proximity, performance expectancy, and information sharing about artificial intelligence online. AI & SOCIETY 2025;40(4):2437 View
  73. 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
  74. Contaldo M, Pasceri G, Vignati G, Bracchi L, Triggiani S, Carrafiello G. AI in Radiology: Navigating Medical Responsibility. Diagnostics 2024;14(14):1506 View
  75. Nekoolaltak M, Nasrabadi A, Hatefimoadab N. Introduction and content analysis of "Nurse's voice" WhatsApp group during COVID-19 pandemic: a qualitative study. BMC Digital Health 2024;2(1) View
  76. Yeh S, Wu A, Yu H, Wu H, Kuo Y, Chen P. Public Perception of Artificial Intelligence and Its Connections to the Sustainable Development Goals. Sustainability 2021;13(16):9165 View
  77. Li S, Chen J. Virtual human on social media: Text mining and sentiment analysis. Technology in Society 2024;78:102666 View
  78. Seikaly K. “ChatGPT, How Do People Feel About You?”: Emotions, Artificial Intelligence, and Information Behavior. Journal of Web Librarianship 2024;18(3):133 View
  79. Sun Y, Xu C, Xu H. Social identity in trusting artificial intelligence agents: Evidence from lab and online experiments. Managerial and Decision Economics 2024;45(8):5899 View
  80. Khubchandani J, Banerjee S, Yockey R, Batra K. Artificial intelligence for medicine, surgery, and public health. Journal of Medicine, Surgery, and Public Health 2024;3:100141 View
  81. Varghese M, Sharma P, Patwardhan M. Public Perception on Artificial Intelligence–Driven Mental Health Interventions: Survey Research. JMIR Formative Research 2024;8:e64380 View
  82. Mert M, Vahabi A, Daştan A, Kuyucu A, Ünal Y, Tezgel O, Öztürk A, Taşbakan M, Aktuğlu K. Artificial intelligence's suggestions for level of amputation in diabetic foot ulcers are highly correlated with those of clinicians, only with exception of hindfoot amputations. International Wound Journal 2024;21(10) View
  83. Chen C, Lee W. Exploring Nurses' Behavioural Intention to Adopt AI Technology: The Perspectives of Social Influence, Perceived Job Stress and Human–Machine Trust. Journal of Advanced Nursing 2025;81(7):3739 View
  84. Revillod G. Why Do Swiss HR Departments Dislike Algorithms in Their Recruitment Process? An Empirical Analysis. Administrative Sciences 2024;14(10):253 View
  85. Mandel A, DeMeo M, Maheshwari A, Tewari A. Patients and generative AI: Who owns your diagnosis?. BJUI Compass 2024;5(12):1246 View
  86. 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
  87. Harrison J, Lynch F, Stark Z, Vears D. Analysis of public perceptions on the use of artificial intelligence in genomic medicine. Human Genomics 2024;18(1) View
  88. Hatem N, Ibrahim M, Yousuf S. Assessing Yemeni university students’ public perceptions toward the use of artificial intelligence in healthcare. Scientific Reports 2024;14(1) View
  89. Wahlich C, Chandrasekaran L, Chaudhry U, Willis K, Chambers R, Bolter L, Anderson J, Shakespeare R, Olvera-Barrios A, Fajtl J, Welikala R, Barman S, Egan C, Tufail A, Owen C, Rudnicka A. Patient and practitioner perceptions around use of artificial intelligence within the English NHS diabetic eye screening programme. Diabetes Research and Clinical Practice 2025;219:111964 View
  90. Li W, Liu X. Anxiety about artificial intelligence from patient and doctor-physician. Patient Education and Counseling 2025;133:108619 View
  91. Reinecke M, Kappes A, Porsdam Mann S, Savulescu J, Earp B. The need for an empirical research program regarding human–AI relational norms. AI and Ethics 2025;5(1):71 View
  92. Sobaih A, Chaibi A, Brini R, Abdelghani Ibrahim T. Unlocking Patient Resistance to AI in Healthcare: A Psychological Exploration. European Journal of Investigation in Health, Psychology and Education 2025;15(1):6 View
  93. Köse N, Şimşek E, Demir M. Adaptation of Artificial Intelligence Attitude Scale (AIAS-4) into Turkish: a validity and reliability study. Current Psychology 2025;44(9):8096 View
  94. Maj A, Makowska M, Sacharczuk K. The content analysis used in nursing research and the possibility of including artificial intelligence support: A methodological review. Applied Nursing Research 2025;82:151919 View
  95. Al-Dulaimi A, Mohammed M. Legal responsibility for errors caused by artificial intelligence (AI) in the public sector. International Journal of Law and Management 2025 View
  96. Suk J, Zhang Y, Liu J, Yang Y. Communicative AI in the scientific public sphere: An analysis of Twitter discourse on generative AI tools. Telematics and Informatics 2025;98:102261 View
  97. 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
  98. Branda F, Stella M, Ceccarelli C, Cabitza F, Ceccarelli G, Maruotti A, Ciccozzi M, Scarpa F. The Role of AI-Based Chatbots in Public Health Emergencies: A Narrative Review. Future Internet 2025;17(4):145 View
  99. Meagher M, Puri D, Bagrodia A. Editorial Comment. Journal of Urology 2024;212(6):881 View
  100. Ibrahim R, Yaas M, Hamarash M, Al-Mukhtar S, Abdulghani M, Al Mushhadany O. Adapting Cognitive Behavioral Therapy for Adolescents in Iraq via Mobile Apps: Qualitative Study of Usability and Outcomes. JMIR Pediatrics and Parenting 2025;8:e67137 View
  101. 何 祥. Research on Public Attitude Analysis towards AI Portrait Generation Technology Based on Social Media Big Data and Its Application Potential in E-Commerce. E-Commerce Letters 2025;14(04):176 View
  102. Mohammadi A, Maghsoudi M. Bridging perspectives on artificial intelligence: a comparative analysis of hopes and concerns in developed and developing countries. AI & SOCIETY 2025;40(7):5713 View
  103. Ito H, Wada T, Ichinose G, Tanimoto J, Yoshimura J, Yamamoto T, Morita S. Barriers to the widespread adoption of diagnostic artificial intelligence for preventing antimicrobial resistance. Scientific Reports 2025;15(1) View
  104. 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
  105. Henrich M, Formella-Zimmermann S, Schneider S, Dierkes P. Free word association analysis of students' perception of artificial intelligence. Frontiers in Education 2025;10 View
  106. Serin O, Yıldırım B, Duman F, Ercorumlu K, Yavas R, Tasar M, Celik M. Physician perspectives on Artificial Intelligence in healthcare: a cross-sectional study of child-focused care in a Turkish tertiary hospital. International Journal of Medical Informatics 2025;203:106003 View
  107. 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
  108. Luo Y, Li S, Ye Q, Zheng J. How privacy calculus builds user engagement through trust in AI medical consultation. Electronic Markets 2025;35(1) View
  109. 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
  110. Thaiduong N. IT Professionals Versus the Public: Who’s More Optimistic About AI’s Future Impacts?. SAGE Open 2025;15(2) View
  111. Ayed A, Batran A, Aqtam I, Malak M, Ejheisheh M, Farajallah M, Farraj L, Alkhatib S. Perceived worries in the adoption of artificial intelligence among nurses in neonatal intensive care units. BMC Nursing 2025;24(1) View
  112. Weber K. Public images of artificial intelligence: an overview. Media - Kultura - Komunikacja Społeczna 2025;(21) View
  113. Negash S, Gundlack J, Buch C, Apfelbacher T, Schildmann J, Frese T, Christoph J, Mikolajczyk R. Physicians’ attitudes and acceptance towards artificial intelligence in medical care: a qualitative study in Germany. Frontiers in Digital Health 2025;7 View
  114. Dalky A, Osaid Malkawi R, Alrawashdeh A, ALBashtawy M, Hani S. Perceptions, barriers, and risk of artificial intelligence Among healthcare professionals: A cross-sectional study. DIGITAL HEALTH 2025;11 View
  115. 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
  116. Singh S, Singh S, Dhir S. From tweets to trends: Modeling public opinion for policy insights on emerging technologies. Journal of Policy Modeling 2025 View
  117. Batran A, Ayed A, Aqtam I, AL-AMER R, Othman E, Ejheisheh M, Al daamsa H, Alkhatib S, Farajallah M. Insights Into Perceived Worries Regarding the Adoption of Artificial Intelligence Among Intensive Care Unit Nurses in the West Bank. SAGE Open Nursing 2025;11 View
  118. Qiu S, Zhang L, You F, Zhao X. Unpacking media channel effects on AI perception: A network analysis of AI information exposure across channels, overload, literacy, and anxiety among Chinese users. Computers in Human Behavior 2025;173:108790 View
  119. Edwards C, Edwards A, Rijhwani V, Mostafa H, Ebo D, Doku D. Beauty and the Bot: Perceptions of Human and AI Fitness Influencers on Instagram. International Journal of Human–Computer Interaction 2025:1 View
  120. Khapre S, Mersha M, Shakil H, Baruah J, Kalita J. Toxicity in online platforms and AI systems: A survey of needs, challenges, mitigations, and future directions. Expert Systems with Applications 2026;299:129832 View
  121. Tian H, Ou R, Chen Q. Artificial intelligence opportunity perception and career sustainability: the mediating role of personal knowledge management. Career Development International 2025:1 View
  122. Shah H, Ali M, Kilgallon J, Pema P, O’Malley G, Goldstein I, Patel N. AI and healthcare: surveying patient perspectives on artificial intelligence in neurosurgery. Journal of Clinical Neuroscience 2026;143:111731 View
  123. Willis K, Shakespeare R, Chandrasekaran L, Chaudhry U, Wahlich C, Chambers R, Bolter L, Anderson J, Olvera‐Barrios A, Fajtl J, Welikala R, Barman S, Mann S, Scanlon P, Habib M, Egan C, Tufail A, Owen C, Rudnicka A. What are the perceptions and concerns of people living with diabetes and National Health Service staff around the potential implementation of AI‐assisted screening for diabetic eye disease?. Diabetic Medicine 2025 View
  124. Sabag-Ben Porat C. AI perceptions across technological generations: utopian and dystopian views uniting baby boomers and gen Z in Israel. Israel Affairs 2025:1 View
  125. Chen J, Zeng Y, Qiu X. Digital anchors vs. human anchors: a study of the effects of credibility endorsement and psychological distance on policy adoption intention. Frontiers in Psychology 2025;16 View
  126. Yan M, Jiang Y, Wongvibulsin S, Chen S. Assessing Public Interest in Artificial Intelligence in Dermatology: A Google Trends Analysis. JID Innovations 2025:100435 View
  127. Toh H, Chan H, Ploug T, Holm S, Lysaght T. Attitudes Towards the Use of Artificial Intelligence in Healthcare: A Conjoint Analysis Survey in Singapore. Asian Bioethics Review 2025 View
  128. 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
  129. Jiang T, Wei N, Yan Q, Ye W. How public discourse on medical AI shapes governance expectations: a Weibo-based mixed-methods study from China. Frontiers in Public Health 2025;13 View
  130. Aquino Y, Rohrbach T, Shih P. Ethics of algorithmic invasiveness in beauty apps: an online experimental survey of public perspectives. Information, Communication & Society 2025:1 View

Books/Policy Documents

  1. Markazi D, Walters K. Diversity, Divergence, Dialogue. View
  2. Terhorst Y, Knauer J, Baumeister H. Digital Phenotyping and Mobile Sensing. View
  3. Kherabi Y, Ming D, Rawson T, Peiffer-Smadja N. Diverse Perspectives and State-of-the-Art Approaches to the Utilization of Data-Driven Clinical Decision Support Systems. View
  4. Htet A, Liana S, Aung T, Bhaumik A. Advanced Applications of Generative AI and Natural Language Processing Models. View
  5. Thompson D, Giscombe A, Armstrong K, Witter N, Murray J, White D, Panther C, Edwards-Braham S. The 6th International Conference on Wireless, Intelligent and Distributed Environment for Communication. View
  6. Al Harrasi N, Salah El Din M. Utilizing AI for Assessment, Grading, and Feedback in Higher Education. View
  7. Chauhan A, Gulati C, Mathur G, Sankpal S. Analyzing Explainable AI in Healthcare and the Pharmaceutical Industry. View
  8. Kee K, Schulz P, Sung J. The Impact of Artificial Intelligence on Societies. View
  9. Brazo P, Velicia-Martin F, Palos-Sanchez P. Transforming Corporate Social Responsibility and Business Ethics With AI. View
  10. Banh L, Strobel G. Conceptualizing Digital Responsibility for the Information Age. View
  11. Nguyen C, Lee C, Goh Z, Tandoc E. HCI International 2025 Posters. View
  12. Knauer J, Terhorst Y, Baumeister H. Feedback Informed Psychological Therapy. View
  13. Shi-Kupfer K, Schalmey T. KI zwischen Ost und West. View
  14. Arief P, Prawira I. Inclusion, Communication, and Social Engagement. View
  15. Altıntaş M, Yaylalı M, Topal M. Shaping the Future of Development in the GCC. View

Conference Proceedings

  1. Chen J, Chen C, B. Walther J, Sundar S. Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems. Do You Feel Special When an AI Doctor Remembers You? Individuation Effects of AI vs. Human Doctors on User Experience View
  2. Raut A, Kale S, Gawande S. 2024 2nd DMIHER International Conference on Artificial Intelligence in Healthcare, Education and Industry (IDICAIEI). Transforming healthcare: A comprehensive review of AI applications in medical care View