Published on in Vol 22, No 5 (2020): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17620, first published .
Health Care Employees’ Perceptions of the Use of Artificial Intelligence Applications: Survey Study

Health Care Employees’ Perceptions of the Use of Artificial Intelligence Applications: Survey Study

Health Care Employees’ Perceptions of the Use of Artificial Intelligence Applications: Survey Study

Authors of this article:

Rana Abdullah1 Author Orcid Image ;   Bahjat Fakieh1 Author Orcid Image

Journals

  1. Bang C, Lee J, Baik G. Artificial Intelligence for the Prediction of Helicobacter Pylori Infection in Endoscopic Images: Systematic Review and Meta-Analysis Of Diagnostic Test Accuracy. Journal of Medical Internet Research 2020;22(9):e21983 View
  2. Adly A, Adly A, Adly M. Approaches Based on Artificial Intelligence and the Internet of Intelligent Things to Prevent the Spread of COVID-19: Scoping Review. Journal of Medical Internet Research 2020;22(8):e19104 View
  3. Lennox-Chhugani N, Chen Y, Pearson V, Trzcinski B, James J. Women’s attitudes to the use of AI image readers: a case study from a national breast screening programme. BMJ Health & Care Informatics 2021;28(1):e100293 View
  4. Jiang L, Wu Z, Xu X, Zhan Y, Jin X, Wang L, Qiu Y. Opportunities and challenges of artificial intelligence in the medical field: current application, emerging problems, and problem-solving strategies. Journal of International Medical Research 2021;49(3) View
  5. Chiu Y, Zhu Y, Corbett J. In the hearts and minds of employees: A model of pre-adoptive appraisal toward artificial intelligence in organizations. International Journal of Information Management 2021;60:102379 View
  6. Santos J, Wong J, Pallath V, Ng K. The perceptions of medical physicists towards relevance and impact of artificial intelligence. Physical and Engineering Sciences in Medicine 2021;44(3):833 View
  7. Chen Y, Stavropoulou C, Narasinkan R, Baker A, Scarbrough H. Professionals’ responses to the introduction of AI innovations in radiology and their implications for future adoption: a qualitative study. BMC Health Services Research 2021;21(1) View
  8. Alsobhi M, Sachdev H, Chevidikunnan M, Basuodan R, K U D, Khan F. Facilitators and Barriers of Artificial Intelligence Applications in Rehabilitation: A Mixed-Method Approach. International Journal of Environmental Research and Public Health 2022;19(23):15919 View
  9. Rashi . Exploring the methods of synthesis, functionalization, and characterization of graphene and graphene oxide for supercapacitor applications. Ceramics International 2023;49(1):40 View
  10. Laukka E, Hammarén M, Kanste O. Nurse leaders' and digital service developers' perceptions of the future role of artificial intelligence in specialized medical care: An interview study. Journal of Nursing Management 2022;30(8):3838 View
  11. Matthiesen S, Diederichsen S, Hansen M, Villumsen C, Lassen M, Jacobsen P, Risum N, Winkel B, Philbert B, Svendsen J, Andersen T. Clinician Preimplementation Perspectives of a Decision-Support Tool for the Prediction of Cardiac Arrhythmia Based on Machine Learning: Near-Live Feasibility and Qualitative Study. JMIR Human Factors 2021;8(4):e26964 View
  12. Pan Y, Froese F. An interdisciplinary review of AI and HRM: Challenges and future directions. Human Resource Management Review 2023;33(1):100924 View
  13. Rainey C, O'Regan T, Matthew J, Skelton E, Woznitza N, Chu K, Goodman S, McConnell J, Hughes C, Bond R, Malamateniou C, McFadden S. UK reporting radiographers’ perceptions of AI in radiographic image interpretation – Current perspectives and future developments. Radiography 2022;28(4):881 View
  14. Mumuni A, Hasford F, Udeme N, Dada M, Awojoyogbe B. A SWOT analysis of artificial intelligence in diagnostic imaging in the developing world: making a case for a paradigm shift. Physical Sciences Reviews 2024;9(1):443 View
  15. Cajander Å, Hedström G, Leijon S, Larusdottir M. Professional decision making with digitalisation of patient contacts in a medical advice setting: a qualitative study of a pilot project with a chat programme in Sweden. BMJ Open 2022;11(12):e054103 View
  16. Ergin E, Karaarslan D, Şahan S, Çınar Yücel Ş. Artificial intelligence and robot nurses: From nurse managers' perspective: A descriptive cross‐sectional study. Journal of Nursing Management 2022;30(8):3853 View
  17. Bai Y, Arif M. Strategies for Improving the Quality of Music Teaching in Primary and Secondary Schools in the Context of Artificial Intelligence and Evaluation. Security and Communication Networks 2022;2022:1 View
  18. 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
  19. Hanis T, Islam M, Musa K. Diagnostic Accuracy of Machine Learning Models on Mammography in Breast Cancer Classification: A Meta-Analysis. Diagnostics 2022;12(7):1643 View
  20. Chen M, Zhang B, Cai Z, Seery S, Gonzalez M, Ali N, Ren R, Qiao Y, Xue P, Jiang Y. Acceptance of clinical artificial intelligence among physicians and medical students: A systematic review with cross-sectional survey. Frontiers in Medicine 2022;9 View
  21. Tursunbayeva A, Renkema M. Artificial intelligence in health‐care: implications for the job design of healthcare professionals. Asia Pacific Journal of Human Resources 2023;61(4):845 View
  22. Wang H, Sun Q, Gu L, Lai K, He L. Diversity in people's reluctance to use medical artificial intelligence: Identifying subgroups through latent profile analysis. Frontiers in Artificial Intelligence 2022;5 View
  23. Scott I, Carter S, Coiera E. Exploring stakeholder attitudes towards AI in clinical practice. BMJ Health & Care Informatics 2021;28(1):e100450 View
  24. ÇİĞDEM M, ŞAHİN S. A research on the perceptions of individuals and health professionals about the wearable technologies used in healthcare services. Journal of International Health Sciences and Management 2022;8(15):1 View
  25. AlZaabi A, AlMaskari S, AalAbdulsalam A. Are physicians and medical students ready for artificial intelligence applications in healthcare?. DIGITAL HEALTH 2023;9 View
  26. Knop M, Weber S, Mueller M, Niehaves B. Human Factors and Technological Characteristics Influencing the Interaction of Medical Professionals With Artificial Intelligence–Enabled Clinical Decision Support Systems: Literature Review. JMIR Human Factors 2022;9(1):e28639 View
  27. Alghamdi S, Aldhahir A, Alqahtani J, Siraj R, Alsulayyim A, Almojaibel A, Alhotye M, Alanazi A, Alqarni A. Healthcare Providers’ Perception and Barriers Concerning the Use of Telehealth Applications in Saudi Arabia: A Cross-Sectional Study. Healthcare 2022;10(8):1527 View
  28. Şahin E, Berk H. Orthopedic surgeons’ attitudes and expectations toward artificial intelligence: A national survey study. Journal of Surgery and Medicine 2023;7(2):151 View
  29. Liao G, Huang T, Wong M, Shyu Y, Ho L, Wang C, Cheng T, Teng C. Enhancing Nurse–Robot Engagement: Two-Wave Survey Study. Journal of Medical Internet Research 2023;25:e37731 View
  30. Rainey C, O'Regan T, Matthew J, Skelton E, Woznitza N, Chu K, Goodman S, McConnell J, Hughes C, Bond R, McFadden S, Malamateniou C. Beauty Is in the AI of the Beholder: Are We Ready for the Clinical Integration of Artificial Intelligence in Radiography? An Exploratory Analysis of Perceived AI Knowledge, Skills, Confidence, and Education Perspectives of UK Radiographers. Frontiers in Digital Health 2021;3 View
  31. 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
  32. Seibert K, Domhoff D, Bruch D, Schulte-Althoff M, Fürstenau D, Biessmann F, Wolf-Ostermann K. Application Scenarios for Artificial Intelligence in Nursing Care: Rapid Review. Journal of Medical Internet Research 2021;23(11):e26522 View
  33. Jussupow E, Spohrer K, Heinzl A. Identity Threats as a Reason for Resistance to Artificial Intelligence: Survey Study With Medical Students and Professionals. JMIR Formative Research 2022;6(3):e28750 View
  34. 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
  35. Chaibi A, Zaiem I. Doctor Resistance of Artificial Intelligence in Healthcare. International Journal of Healthcare Information Systems and Informatics 2022;17(1):1 View
  36. Liu C, Chen Z, Kuo S, Lin T. Does AI explainability affect physicians’ intention to use AI?. International Journal of Medical Informatics 2022;168:104884 View
  37. HOŞGÖR H, GÜNGÖRDÜ H. Sağlıkta Yapay Zekanın Kullanım Alanları Üzerine Nitel Bir Araştırma. European Journal of Science and Technology 2022 View
  38. Alattas K. Saudi Arabia Corporate Firms are Hesitant to Embrace Artificial Intelligence as of 2020 Despite the Numerous Benefits. WSEAS TRANSACTIONS ON SYSTEMS AND CONTROL 2023;18:38 View
  39. Gînguță A, Ștefea P, Noja G, Munteanu V. Ethical Impacts, Risks and Challenges of Artificial Intelligence Technologies in Business Consulting: A New Modelling Approach Based on Structural Equations. Electronics 2023;12(6):1462 View
  40. 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
  41. Ergin E, Karaarslan D, Şahan S, Bingöl Ü. Can artificial intelligence and robotic nurses replace operating room nurses? The quasi-experimental research. Journal of Robotic Surgery 2023;17(4):1847 View
  42. Taskiran N. Effect of Artificial Intelligence Course in Nursing on Students' Medical Artificial Intelligence Readiness. Nurse Educator 2023;48(5):E147 View
  43. Karan-Romero M, Salazar-Gamarra R, Leon-Rios X. Evaluation of Attitudes and Perceptions in Students about the Use of Artificial Intelligence in Dentistry. Dentistry Journal 2023;11(5):125 View
  44. Chen Y, Wu Z, Wang P, Xie L, Yan M, Jiang M, Yang Z, Zheng J, Zhang J, Zhu J. Radiology Residents’ Perceptions of Artificial Intelligence: Nationwide Cross-Sectional Survey Study. Journal of Medical Internet Research 2023;25:e48249 View
  45. Pedro A, Dias M, Laranjo L, Cunha A, Cordeiro J, Adebisi J. Artificial intelligence in medicine: A comprehensive survey of medical doctor’s perspectives in Portugal. PLOS ONE 2023;18(9):e0290613 View
  46. Shaikh F, Afshan G, Anwar R, Abbas Z, Chana K. Analyzing the impact of artificial intelligence on employee productivity: the mediating effect of knowledge sharing and well‐being. Asia Pacific Journal of Human Resources 2023;61(4):794 View
  47. Nadarzynski T, Lunt A, Knights N, Bayley J, Llewellyn C. “But can chatbots understand sex?” Attitudes towards artificial intelligence chatbots amongst sexual and reproductive health professionals: An exploratory mixed-methods study. International Journal of STD & AIDS 2023;34(11):809 View
  48. Lambert S, Madi M, Sopka S, Lenes A, Stange H, Buszello C, Stephan A. An integrative review on the acceptance of artificial intelligence among healthcare professionals in hospitals. npj Digital Medicine 2023;6(1) View
  49. Lammons W, Silkens M, Hunter J, Shah S, Stavropoulou C. Centering Public Perceptions on Translating AI Into Clinical Practice: Patient and Public Involvement and Engagement Consultation Focus Group Study. Journal of Medical Internet Research 2023;25:e49303 View
  50. Omary A. Determinants of Artificial Intelligence Adoption in Disease Diagnosis for Improving Health Sector Services in Tanzania: A Case of Muhimbili National Hospitals. European Journal of Theoretical and Applied Sciences 2023;1(4):923 View
  51. KANTAS YİLMAZ F. Attention: Artificial Intelligence is Coming! What Do Healthcare Professionals Say About This in Türkiye?. OPUS Toplum Araştırmaları Dergisi 2023;20(55):713 View
  52. Strauss A, Sidoti C, Sung H, Jain V, Lehmann H, Purnell T, Jackson J, Malinsky D, Hamilton J, Garonzik-Wang J, Gray S, Levan M, Hinson J, Gurses A, Gurakar A, Segev D, Levin S. Artificial intelligence-based clinical decision support for liver transplant evaluation and considerations about fairness: A qualitative study. Hepatology Communications 2023;7(10) View
  53. Hesso I, Kayyali R, Dolton D, Joo K, Zacharias L, Charalambous A, Lavdaniti M, Stalika E, Ajami T, Acampa W, Boban J, Nabhani-Gebara S. Cancer care at the time of the fourth industrial revolution: an insight to healthcare professionals’ perspectives on cancer care and artificial intelligence. Radiation Oncology 2023;18(1) View
  54. Ahmad M, Abdallah S, Abbasi S, Abdallah A. Student perspectives on the integration of artificial intelligence into healthcare services. DIGITAL HEALTH 2023;9 View
  55. 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
  56. Malhotra K, Wong B, Lee S, Franco H, Singh C, Cabrera Silva L, Iraqi H, Sinha A, Burger S, Breedt D, Goyal K, Dagli M, Bawa A. Role of Artificial Intelligence in Global Surgery: A Review of Opportunities and Challenges. Cureus 2023 View
  57. Ahmed A, Brychcy A, Abouzid M, Witt M, Kaczmarek E. Perception of Pathologists in Poland of Artificial Intelligence and Machine Learning in Medical Diagnosis—A Cross-Sectional Study. Journal of Personalized Medicine 2023;13(6):962 View
  58. 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
  59. Syed W, Al-Rawi M. Community pharmacists awareness, perceptions, and opinions of artificial intelligence: A cross-sectional study in Riyadh, Saudi Arabia. Technology and Health Care 2024;32(1):481 View
  60. Abdallah S, Sharifa M, I.KH. ALMADHOUN M, Khawar M, Shaikh U, Balabel K, Saleh I, Manzoor A, Mandal A, Ekomwereren O, Khine W, Oyelaja O. The Impact of Artificial Intelligence on Optimizing Diagnosis and Treatment Plans for Rare Genetic Disorders. Cureus 2023 View
  61. Swillens J, Nagtegaal I, Engels S, Lugli A, Hermens R, van der Laak J. Pathologists’ first opinions on barriers and facilitators of computational pathology adoption in oncological pathology: an international study. Oncogene 2023;42(38):2816 View
  62. Senthilkumar T, Arumugam T, Pandurangan H, Panjaiyan K. Adoption of Artificial Intelligence in Health Care: A Nursing Perspective. Salud, Ciencia y Tecnología 2023;3:510 View
  63. Orlova I, Akopyan Z, Plisyuk A, Tarasova E, Borisov E, Dolgushin G, Khvatova E, Grigoryan M, Gabbasova L, Kamalov A. Opinion research among Russian Physicians on the application of technologies using artificial intelligence in the field of medicine and health care. BMC Health Services Research 2023;23(1) View
  64. Willis K, Chaudhry U, Chandrasekaran L, Wahlich C, Olvera-Barrios A, Chambers R, Bolter L, Anderson J, Barman S, Fajtl J, Welikala R, 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? Development and validation of a survey for use in a secondary care screening setting. BMJ Open 2023;13(11):e075558 View
  65. Barakat A, Mobarak O, Javaid H, Awad M, Hamweyah K, Ouban A, Al-Hazzaa S. The application of artificial intelligence in diabetic retinopathy screening: a Saudi Arabian perspective. Frontiers in Medicine 2023;10 View
  66. AKTAŞ REYHAN F, DAĞLI E. Ebelik Öğrencilerin Yapay Zekâ Kaygı Durumlarının Değerlendirilmesi. Cumhuriyet Üniversitesi Sağlık Bilimleri Enstitüsü Dergisi 2023;8(Special Issue):290 View
  67. Adigwe O, Onavbavba G, Sanyaolu S. Exploring the matrix: knowledge, perceptions and prospects of artificial intelligence and machine learning in Nigerian healthcare. Frontiers in Artificial Intelligence 2024;6 View
  68. Pena F, Faria M. REFLEXÕES SOBRE O USO DA INTELIGÊNCIA ARTIFICIAL EM AMBIENTES DE PROFISSIONAIS DE SAÚDE: IMPACTOS ATUAIS E FUTUROS. Revista Contemporânea 2024;4(1):2833 View
  69. Özbek Güven G, Yilmaz Ş, Inceoğlu F. Determining medical students' anxiety and readiness levels about artificial intelligence. Heliyon 2024;10(4):e25894 View
  70. 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
  71. Al Mohammad B, Aldaradkeh A, Gharaibeh M, Reed W. Assessing radiologists’ and radiographers’ perceptions on artificial intelligence integration: opportunities and challenges. British Journal of Radiology 2024;97(1156):763 View
  72. Park S, Pinto-Powell R, Thesen T, Lindqwister A, Levy J, Chacko R, Gonzalez D, Bridges C, Schwendt A, Byrum T, Fong J, Shasavari S, Hassanpour S. Preparing healthcare leaders of the digital age with an integrative artificial intelligence curriculum: a pilot study. Medical Education Online 2024;29(1) View
  73. Bouderhem R. Shaping the future of AI in healthcare through ethics and governance. Humanities and Social Sciences Communications 2024;11(1) View
  74. 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
  75. Mou Y, Gong Y, Ding Z. Complement or substitute? A study of the impact of artificial intelligence on consumers’ resistance. Marketing Intelligence & Planning 2024;42(4):647 View
  76. 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
  77. Surbaya S, Khan A, Surbaya S, Alzahrani S. Knowledge, Attitude and Practice Toward Artificial Intelligence Among Healthcare Workers in Private Polyclinics in Jeddah, Saudi Arabia. Advances in Medical Education and Practice 2024;Volume 15:269 View
  78. Swain S, Muduli K. Uncovering the Issues Associated with AI and other Disruptive Technology Enabled Operational Practices in Healthcare Sectors in India. Recent Patents on Engineering 2024;18(5) View
  79. Virgilio G, Saavedra Hoyos F, Bao Ratzemberg C. The impact of artificial intelligence on unemployment: a review. International Journal of Social Economics 2024;51(12):1680 View
  80. Waheed M, Liu L. Perceptions of Family Physicians About Applying AI in Primary Health Care: Case Study From a Premier Health Care Organization. JMIR AI 2024;3:e40781 View
  81. Karaarslan D, Kahraman A, Ergin E. How does training given to pediatric nurses about artificial intelligence and robot nurses affect their opinions and attitude levels? A quasi-experimental study. Journal of Pediatric Nursing 2024;77:e211 View
  82. Alwadani F, Lone A, Hakami M, Moria A, Alamer W, Alghirash R, Alnawah A, Hadadi A. Attitude and Understanding of Artificial Intelligence Among Saudi Medical Students: An Online Cross-Sectional Study. Journal of Multidisciplinary Healthcare 2024;Volume 17:1887 View
  83. Mikic D, Glomazic H, Mikic A. Medical students’ perception of the role of artificial intelligence in healthcare. Medicinski pregled 2023;76(9-10):269 View
  84. Habib M, Hoodbhoy Z, Siddiqui M, Silva J. Knowledge, attitudes, and perceptions of healthcare students and professionals on the use of artificial intelligence in healthcare in Pakistan. PLOS Digital Health 2024;3(5):e0000443 View
  85. Daniyal M, Qureshi M, Marzo R, Aljuaid M, Shahid D. Exploring clinical specialists’ perspectives on the future role of AI: evaluating replacement perceptions, benefits, and drawbacks. BMC Health Services Research 2024;24(1) View
  86. Bienefeld N, Keller E, Grote G. Human-AI Teaming in Critical Care: A Comparative Analysis of Data Scientists’ and Clinicians’ Perspectives on AI Augmentation and Automation. Journal of Medical Internet Research 2024;26:e50130 View
  87. Xu Y, Huang Y, Wang J, Zhou D. How do employees form initial trust in artificial intelligence: hard to explain but leaders help. Asia Pacific Journal of Human Resources 2024;62(3) View
  88. Buldur M, Sezer B. Evaluating the accuracy of Chat Generative Pre-trained Transformer version 4 (ChatGPT-4) responses to United States Food and Drug Administration (FDA) frequently asked questions about dental amalgam. BMC Oral Health 2024;24(1) View
  89. Wang X, Fei F, Wei J, Huang M, Xiang F, Tu J, Wang Y, Gan J. Knowledge and attitudes toward artificial intelligence in nursing among various categories of professionals in China: a cross-sectional study. Frontiers in Public Health 2024;12 View
  90. Tortorella G, Powell D, Hines P, Mac Cawley Vergara A, Tlapa-Mendoza D, Vassolo R. How does artificial intelligence impact employees’ engagement in lean organisations?. International Journal of Production Research 2024:1 View
  91. Sharma A, Al-Haidose A, Al-Asmakh M, Abdallah A. Integrating Artificial Intelligence into Biomedical Science Curricula: Advancing Healthcare Education. Clinics and Practice 2024;14(4):1391 View
  92. Dong X, Jiang L, Li W, Chen C, Gan Y, Xia J, Qin X. Let’s Talk about AI: Talking about AI is Positively Associated with AI Crafting. Asia Pacific Journal of Management 2024 View
  93. Ifeagwu S, Nakaboga Kikonyogo R, Nakkazi S, Beinomugisha J, Ojiambo Wandera S, Kiwanuka S, King R, Van Bortel T, Brayne C, Parkes-Ratanshi R, Ilboudo P. “Sickness has no time”: Awareness and perceptions of health care workers on universal health coverage in Uganda. PLOS ONE 2024;19(7):e0306922 View
  94. 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
  95. Atalla A, El-Ashry A, Mohamed Sobhi Mohamed S. The moderating role of ethical awareness in the relationship between nurses’ artificial intelligence perceptions, attitudes, and innovative work behavior: a cross-sectional study. BMC Nursing 2024;23(1) View
  96. Shawli L, Alsobhi M, Faisal Chevidikunnan M, Rosewilliam S, Basuodan R, Khan F. Physical therapists’ perceptions and attitudes towards artificial intelligence in healthcare and rehabilitation: A qualitative study. Musculoskeletal Science and Practice 2024;73:103152 View
  97. Patrício L, de Sousa Costa C, Varela L, Cruz-Cunha M. Literature review on the sustainable implementation of Robotic Process Automation (RPA) in medical and healthcare administrative services. Procedia Computer Science 2024;239:166 View
  98. Tarsuslu S, Agaoglu F, Bas M. Can digital leadership transform AI anxiety and attitude in nurses?. Journal of Nursing Scholarship 2024 View
  99. Dumitrașcu L, Lespezeanu D, Zugravu C, Constantin C. Perceptions of the Impact of Artificial Intelligence among Internal Medicine Physicians as a Step in Social Responsibility Implementation: A Cross-Sectional Study. Healthcare 2024;12(15):1502 View
  100. Tuncer G, Tuncer M. Investigation of nurses’ general attitudes toward artificial intelligence and their perceptions of ChatGPT usage and influencing factors. DIGITAL HEALTH 2024;10 View
  101. Malešević A, Kolesárová M, Čartolovni A. Encompassing trust in medical AI from the perspective of medical students: a quantitative comparative study. BMC Medical Ethics 2024;25(1) View
  102. Rony M, Alrazeeni D, Akter F, Nesa L, Chandra Das D, Uddin M, Begum J, Tahmina Khatun M, Noor M, Ahmad S, Tanha S, Deb T, Rina Parvin M. The role of artificial intelligence in enhancing nurses' work-life balance. Journal of Medicine, Surgery, and Public Health 2024;3:100135 View
  103. Drogt J, Milota M, Veldhuis W, Vos S, Jongsma K. The promise of AI for image-driven medicine: A qualitative interview study of radiologists’ and pathologists’ perspectives. (Preprint). JMIR Human Factors 2023 View
  104. Navarro Martínez O, Fernández-García D, Cuartero Monteagudo N, Forero-Rincón O. Possible Health Benefits and Risks of DeepFake Videos: A Qualitative Study in Nursing Students. Nursing Reports 2024;14(4):2746 View
  105. Radhwi O, Khafaji M. The wizard of artificial intelligence: Are physicians prepared?. Journal of Family and Community Medicine 2024;31(4):344 View
  106. Hamd Z, Alorainy A, Aldhahi M, Gareeballah A, F Alsubaie N, A Alshanaiber S, S Almudayhesh N, A Alyousef R, A AlNiwaider R, A Bin Moammar L, M Abuzaid M. Evaluation of the Impact of Artificial Intelligence on Clinical Practice of Radiology in Saudi Arabia. Journal of Multidisciplinary Healthcare 2024;Volume 17:4745 View
  107. Türkmen İ, Söyler A, Aliyev S, Semiz T. Bibliometric and Content Analysis of Articles on Artificial Intelligence in Healthcare. Journal of International Health Sciences and Management 2024;10(20):137 View
  108. Kumar S, Rayal S, Bommaraju R, Varasala N, Papineni S, Deo S. Understanding Providers' Attitude Towards Artificial Intelligence in India's Informal Healthcare Sector – A Survey Study (Preprint). JMIR Formative Research 2023 View

Books/Policy Documents

  1. Triberti S, Durosini I, La Torre D, Sebri V, Savioni L, Pravettoni G. Handbook of Artificial Intelligence in Healthcare. View
  2. Singh R, Tarkar P. Proceedings of International Conference on Communication and Artificial Intelligence. View
  3. Ayari A, Ammar A. Ethical Challenges for the Future of Neurosurgery. View