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

Artificial Intelligence (717)

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 Abdullah 1 Author Orcid Image ;   Bahjat Fakieh 1 Author Orcid Image
Article Authors Cited by (45) Tweetations (8) Metrics

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):030006052110001 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 2022;0(0) 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 2022 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;9:205520762311521 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 View
  42. Taskiran N. Effect of Artificial Intelligence Course in Nursing on Students' Medical Artificial Intelligence Readiness. Nurse Educator 2023;Publish Ahead of Print 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

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