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ORIGINAL RESEARCH

Knowledge, Attitude and Practice Toward Artificial Intelligence Among Healthcare Workers in Private Polyclinics in Jeddah, Saudi Arabia

, ORCID Icon, &
Pages 269-280 | Received 25 Nov 2023, Accepted 27 Mar 2024, Published online: 05 Apr 2024

References

  • Lovis C. Unlocking the power of artificial intelligence and big data in medicine. J Med Internet Res. 2019;21(11):e16607. doi:10.2196/16607
  • van Hartskamp M, Consoli S, Verhaegh W, et al. Artificial intelligence in clinical health care applications: viewpoint. Interact J Med Res. 2019;8(2):e12100. doi:10.2196/12100
  • Yu K, Beam AL, Kohane IS. Artificial intelligence in healthcare. Nat Biomed Eng. 2018;2(10):719–731. doi:10.1038/s41551-018-0305-z
  • Wu H, Chan N, Zhang CJP, et al. The role of the sharing economy and artificial intelligence in health care: opportunities and challenges. J Med Internet Res. 2019;21(10):e13469. doi:10.2196/13469
  • Jiang F, Jiang Y, Zhi H, et al. Artificial intelligence in healthcare: past, present and future. Stroke Vasc Neurol. 2017;2(4):230–243. doi:10.1136/svn-2017-000101
  • Urban R, Haluzová S, Strunga M, et al. AI-assisted CBCT data management in modern dental practice: benefits, limitations and innovations. Electronics. 2023;12(7):1710. doi:10.3390/electronics12071710
  • Rajkomar A, Dean J, Kohane I. Machine Learning in Medicine. N Engl J Med. 2019;380(14):1347–1358. doi:10.1056/NEJMra1814259
  • Topol EJ. High-performance medicine: the convergence of human and artificial intelligence. Nat Med. 2019;25(1):44–56. doi:10.1038/s41591-018-0300-7
  • Oakden-Rayner L. Exploring large-scale public medical image datasets. Acad Radiol. 2020;27(1):106–112. doi:10.1016/j.acra.2019.10.006
  • Department of Health and Social Care. The Topol review: preparing the healthcare workforce to deliver the digital future, 2019. Her Majesties Government, United Kingdom; 2019. Available from: https://topol.hee.nhs.uk/wp-content/uploads/HEE-Topol-Review-2019.pdf. Accessed May 6, 2022.
  • Gong B, Nugent JP, Guest W, et al. Influence of artificial intelligence on Canadian medical students’ preference for radiology specialty: a national survey study. Acad Radiol. 2019;26:566–577. doi:10.1016/j.acra.2018.10.007
  • Dos Santos D P, Giese D, Brodehl S, et al. Medical students’ attitude towards artificial intelligence: a multicentre survey. Eur Radiol. 2019;29:1640–1646. doi:10.1007/s00330-018-5601-1
  • Sarwar S, Dent A, Faust K, et al. Physician perspectives on integration of artificial intelligence into diagnostic pathology. NPJ Digit Med. 2019;2:28. doi:10.1038/s41746-019-0106-0
  • Maskara R, Bhootra V, Thakkar D, et al. A study on the perception of medical professionals towards artificial intelligence. Int J Multidiscip Res Dev. 2017;4(4):34–39.
  • Oh S, Kim JH, Choi S, et al. Physician confidence in artificial intelligence: an online mobile survey. J Med Internet Res. 2019;21(3):e12422. doi:10.2196/12422
  • Jeddah Municipality. About Jeddah City; 2022. Available from: https://www.jeddah.gov.sa/english/jeddahcity/about/index.php. Accessed August 15, 2022.
  • Abdullah R, Fakieh B. Health care employees’ perceptions of the use of artificial intelligence applications: survey study. J Med Internet Res. 2020;22(5):e17620. doi:10.2196/17620
  • Syed W, Al-Rawi MBA. Community pharmacists awareness, perceptions, and opinions of artificial intelligence: a cross-sectional study in Riyadh, Saudi Arabia. Technol Health Care. 2024;32(1):481–493. doi:10.3233/THC-230784
  • Castagno S, Khalifa M. Perceptions of artificial intelligence among healthcare staff: a qualitative survey study. Front Artif Intell. 2020;3:578983. doi:10.3389/frai.2020.578983
  • Ahmed Z, Bhinder KK, Tariq A, et al. Knowledge, attitude, and practice of artificial intelligence among doctors and medical students in Pakistan: a cross-sectional online survey. Ann Med Surg Lond. 2022;76:103493. doi:10.1016/j.amsu.2022.103493
  • Syed W, Basil A, Al-Rawi M. Assessment of awareness, perceptions, and opinions towards artificial intelligence among healthcare students in Riyadh, Saudi Arabia. Medicina. 2023;59(5):828. doi:10.3390/medicina59050828
  • Alghamdi SA, Alashban Y. Medical science students’ attitudes and perceptions of artificial intelligence in healthcare: a national study conducted in Saudi Arabia. J Radiat Res Appl Sci. 2024;17(1):100815. doi:10.1016/j.jrras.2023.100815
  • Laï MC, Brian M, Mamzer MF. Perceptions of artificial intelligence in healthcare: findings from a qualitative survey study among actors in France. J Transl Med. 2020;18(1):14. doi:10.1186/s12967-019-02204-y
  • Dreyer KJ, Geis JR. When machines think: radiology’s next frontier. Radiology. 2017;285(3):713–718. doi:10.1148/radiol.2017171183
  • Diprose W, Buist N. Artificial intelligence in medicine: humans need not apply? N Z Med J. 2016;129(1434):73–76.
  • Krittanawong C. The rise of artificial intelligence and the uncertain future for physicians. Eur J Intern Med. 2018;48:e13–e14. doi:10.1016/j.ejim.2017.06.017
  • Sit C, Srinivasan R, Amlani A, et al. Attitudes and perceptions of UK medical students towards artificial intelligence and radiology: a multicentre survey. Insights Imaging. 2020;11(1):14. doi:10.1186/s13244-019-0830-7
  • Surovková J, Haluzová S, Strunga M, et al. The new role of the dental assistant and nurse in the age of advanced artificial intelligence in telehealth orthodontic care with dental monitoring: preliminary report. Appl Sci. 2023;13(8):5212. doi:10.3390/app13085212
  • Al Hadithy ZA, Al Lawati A, Al-Zadjali R, et al. Knowledge, attitudes, and perceptions of artificial intelligence in healthcare among medical students at sultan Qaboos university. Cureus. 2023;15(9):e44887. doi:10.7759/cureus.44887
  • Aljizawi J, Dalloul D, Ghryani L, et al. A survey of artificial intelligence solutions in response to the COVID-19 pandemic in Saudi Arabia. Procedia Comput Sci. 2021;194:190–201. doi:10.1016/j.procs.2021.10.073