Journal of Multidisciplinary Healthcare (Aug 2024)

Perceptions of Artificial Intelligence Among Otolaryngologists in Saudi Arabia: A Cross-Sectional Study

  • AlSharhan SS,
  • AlMarzouq WF,
  • Alshaikh HK,
  • Aljubran HJ,
  • Alghamdi R,
  • AlQahtani SM,
  • Almarzouq AF,
  • AlAmer NA

Journal volume & issue
Vol. Volume 17
pp. 4101 – 4111

Abstract

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Salma S AlSharhan,1 Wasan F AlMarzouq,1 Hamzah K Alshaikh,2 Hussain J Aljubran,3 Rizam Alghamdi,4 Sarah M AlQahtani,4 Aseel F Almarzouq,5 Naheel A AlAmer6 1Department of Otorhinolaryngology Head & Neck Surgery, College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia; 2Department of Otorhinolaryngology Head & Neck Surgery, King Fahd Military Medical Complex, Dhahran, Saudi Arabia; 3College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia; 4Department of Otorhinolaryngology Head & Neck Surgery, Dammam Medical Complex, Dammam, Saudi Arabia; 5College of Medicine, King Faisal University, Al-Ahsa, Saudi Arabia; 6Department of Family and Community Medicine, College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi ArabiaCorrespondence: Salma S AlSharhan, Department of Otorhinolaryngology Head & Neck Surgery, College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam, 34212, Saudi Arabia, Tel +966505951801, Email [email protected]: Otolaryngology has experienced notable advancements and growth in the application of artificial intelligence (AI). However, otolaryngologists’ perception of these tools are lacking. This study aims to assess the knowledge and attitudes of otolaryngologists toward AI.Patients and Methods: A cross-sectional study was conducted among 110 otolaryngologists in the Eastern Province of Saudi Arabia. A piloted questionnaire was used to gather information on knowledge, attitude, and opinions regarding AI. Data analysis was conducted using SPSS version 26.Results: Of the sample, 60% indicated average perceived knowledge of AI, while approximately 44.5% perceived their AI knowledge in the field of otolaryngology to be below average. A significant positive correlation was identified between knowledge and attitude scores. It was found that a higher knowledge score was more closely associated with seeing more than 15 patients per day, while a higher attitude score was more closely associated with being older, being a consultant, and having more years of professional experience. Of the sample, 38.2% strongly agreed that the application of AI in scientific research should be included in the residency training program.Conclusion: These findings underscore the importance of incorporating AI tools into certain aspects of the otolaryngology residency training program, highlighting their significance.Keywords: otolaryngology, artificial intelligence, machine learning, knowledge, attitude

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