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

Artificial Intelligence (1371) Infodemiology and Infoveillance (1349) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Quality/Credibility of eHealth Information and Trust Issues (531) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Infoveillance and Social Listening (209)

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
Article Authors Cited by (96) Tweetations (35) Metrics

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 2023 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 2023:1 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. Ogolodom M, Daniel Ochong A, Brownson Egop E, Ugwem Jeremiah C, Kenneth Madume A, Nyenke C, Dambele M, Joseph D, Bakre A, Balogun E, Alazigha N, Okeji M, Ordu K, Hyacienth Uche Chiegwu H, Johnson J, Mbaba A, Kelechi Nwodo V. Knowledge and perception of healthcare workers towards the adoption of artificial intelligence in healthcare service delivery in Nigeria. AG Salud 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 2024 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 2024 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 2024 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 2024:1 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. Who do I trust more? Public Perception on AI-driven Mental health Interventions: A Survey research (Preprint). JMIR Formative Research 2024 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 2024 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 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 2024:1 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

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