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Attitudes and Perceptions of Health Sciences Academicians on Artificial Intelligence

Year 2025, Volume: 9 Issue: 3, 476 - 484, 30.09.2025
https://doi.org/10.30621/jbachs.1606219

Abstract

References

  • Xu Y, Liu X, Cao X, et al. Artificial intelligence: A powerful paradigm for scientific research. The Innovation. 2021;2(4).
  • Yeung S, Downing NL, Fei-Fei L, Milstein A. Bedside computer vision-moving artificial intelligence from driver assistance to patient safety. N Engl J Med. 2018;378(14):1271-3.
  • Bajwa J, Munir U, Nori A, Williams B. Artificial intelligence in healthcare: transforming the practice of medicine. Future healthcare journal. 2021;8(2):e188.
  • Zawacki-Richter O, Marín VI, Bond M, Gouverneur F. Systematic review of research on artificial intelligence applications in higher education–where are the educators? International Journal of Educational Technology in Higher Education. 2019;16(1):1-27.
  • Davenport T, Kalakota R. The potential for artificial intelligence in healthcare. Future healthcare journal. 2019;6(2):94.
  • Alowais SA, Alghamdi SS, Alsuhebany N, et al. Revolutionizing healthcare: the role of artificial intelligence in clinical practice. BMC medical education. 2023;23(1):689.
  • Wang F, Casalino LP, Khullar D. Deep learning in medicine—promise, progress, and challenges. JAMA internal medicine. 2019;179(3):293-4.
  • Cardona MA, Rodríguez RJ, Ishmael K. Artificial Intelligence and the Future of Teaching and Learning: Insights and Recommendations. 2023.
  • Arqawi SM, Zitawi EA, Rabaya AH, Abunasser BS, Abu-Naser SS. Predicting university student retention using artificial intelligence. International Journal of Advanced Computer Science and Applications. 2022;13(9).
  • Sekeroglu B, Dimililer K, Tuncal K. Artificial Intelligence in Education: application in student performance evaluation. Dilemas Contemporáneos: Educación, Política y Valores. 2019;7(1).
  • Kelly S, Kaye S-A, Oviedo-Trespalacios O. What factors contribute to the acceptance of artificial intelligence? A systematic review. Telematics and Informatics. 2023;77:101925.
  • Bergdahl J, Latikka R, Celuch M, et al. Self-determination and attitudes toward artificial intelligence: Cross-national and longitudinal perspectives. Telematics and Informatics. 2023;82:102013.
  • Kaya F, Aydin F, Schepman A, Rodway P, Yetişensoy O, Demir Kaya M. The Roles of Personality Traits, AI Anxiety, and Demographic Factors in Attitudes toward Artificial Intelligence. International Journal of Human–Computer Interaction. 2022:1-18.
  • Schepman A, Rodway P. Initial validation of the general attitudes towards Artificial Intelligence Scale. Computers in human behavior reports. 2020;1:100014.
  • Cao G, Duan Y, Edwards JS, Dwivedi YK. Understanding managers’ attitudes and behavioral intentions towards using artificial intelligence for organizational decision-making. Technovation. 2021;106:102312.
  • Schepman A, Rodway P. The General Attitudes towards Artificial Intelligence Scale (GAAIS): Confirmatory validation and associations with personality, corporate distrust, and general trust. International Journal of Human–Computer Interaction. 2023;39(13):2724-41.
  • Yüzbaşıoğlu E. Attitudes and perceptions of dental students towards artificial intelligence. Journal of dental education. 2021;85(1):60-8.
  • Sit C, Srinivasan R, Amlani A, et al. Attitudes and perceptions of UK medical students towards artificial intelligence and radiology: a multicentre survey. Insights into imaging. 2020;11:1-6.
  • Sur J, Bose S, Khan F, Dewangan D, Sawriya E, Roul A. Knowledge, attitudes, and perceptions regarding the future of artificial intelligence in oral radiology in India: A survey. Imaging Science in Dentistry. 2020;50(3):193.
  • Jungmann F, Jorg T, Hahn F, et al. Attitudes toward artificial intelligence among radiologists, IT specialists, and industry. Academic radiology. 2021;28(6):834-40.
  • Polesie S, Gillstedt M, Kittler H, et al. Attitudes towards artificial intelligence within dermatology: an international online survey. British Journal of Dermatology. 2020;183(1):159-61.
  • Ho M-T, Le N-TB, Mantello P, Ho M-T, Ghotbi N. Understanding the acceptance of emotional artificial intelligence in Japanese healthcare system: A cross-sectional survey of clinic visitors’ attitude. Technology in Society. 2023;72:102166.
  • Swed S, Alibrahim H, Elkalagi NKH, et al. Knowledge, attitude, and practice of artificial intelligence among doctors and medical students in Syria: a cross-sectional online survey. Frontiers in artificial intelligence. 2022;5:1011524.
  • Asmatahasin M, Pratap K, Padma TM, Kalyan VS, Kumar VS. Attitude and perception of dental students towards artificial intelligence. Indian Journal of Basic and Applied Medical Research. 2021;10(3):305-14.
  • Stewart J, Lu J, Gahungu N, et al. Western Australian medical students’ attitudes towards artificial intelligence in healthcare. PLoS One. 2023;18(8):e0290642.
  • Alsobhi M, Khan F, Chevidikunnan MF, Basuodan R, Shawli L, Neamatallah Z. Physical therapists’ knowledge and attitudes regarding artificial intelligence applications in health care and rehabilitation: cross-sectional study. Journal of medical Internet research. 2022;24(10):e39565.
  • Pinto dos Santos D, Giese D, Brodehl S, et al. Medical students' attitude towards artificial intelligence: a multicentre survey. European radiology. 2019;29:1640-6.
  • Shawli L, Alsobhi M, Chevidikunnan MF, 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.
  • Murali S, Bagewadi A, Kumar L, et al. Knowledge, attitude, and perception of dentists regarding the role of artificial intelligence and its applications in oral medicine and radiology: a cross sectional study. Journal of Oral Medicine and Oral Surgery. 2023;29(2):22.
  • Zheng B, Wu M-n, Zhu S-j, et al. Attitudes of medical workers in China toward artificial intelligence in ophthalmology: a comparative survey. BMC Health Services Research. 2021;21(1):1-13.

Attitudes and Perceptions of Health Sciences Academicians on Artificial Intelligence

Year 2025, Volume: 9 Issue: 3, 476 - 484, 30.09.2025
https://doi.org/10.30621/jbachs.1606219

Abstract

Purpose: Artificial Intelligence (AI) is one of today's most popular topics in healthcare, and it is clear that it will continue to be of interest in the future. The aim of the study was to determine the attitudes and perceptions of health sciences academicians towards artificial intelligence.
Material and Methods: This cross-sectional study was conducted using an online questionnaire. Baseline information was obtained from the participants. A 20-question Likert questionnaire prepared by the researchers and the General Attitude Towards Artificial Intelligence Scale (GAAIS) were used to determine the attitudes and perceptions of health science academicians towards artificial intelligence.
Results: The survey was completed by 212 academicians working in health sciences at 41 universities in Türkiye. Most of academicians (72.6%) were familiar with the term AI applications, with 61.8% using it in English translation when writing articles, 79.8% believing that AI should be used in healthcare, 74.5% believing that AI is essential for the educational advancement of healthcare students, and 55.2% agreeing that AI applications improved the spelling of articles. According to both the questions prepared by the researchers and the results of the GAAIS, the attitudes and perceptions of these academics towards AI were optimistic. However, they also have concerns about some issues such as data reliability and accuracy of the information obtained.
Conclusion: As a result, current findings revealed that most of the academicians in Türkiye use AI applications

Ethical Statement

All procedures were conducted according to the principles of the Declaration of Helsinki and this study approved by the University of Health Sciences Gülhane Scientific Research Ethics Committee with decision number 2023-389. All individuals included in the study were informed with a written consent form and accepted the consent form by clicking through the online form.

Supporting Institution

The authors received no financial support for the research, authorship, and/or publication of this article.

References

  • Xu Y, Liu X, Cao X, et al. Artificial intelligence: A powerful paradigm for scientific research. The Innovation. 2021;2(4).
  • Yeung S, Downing NL, Fei-Fei L, Milstein A. Bedside computer vision-moving artificial intelligence from driver assistance to patient safety. N Engl J Med. 2018;378(14):1271-3.
  • Bajwa J, Munir U, Nori A, Williams B. Artificial intelligence in healthcare: transforming the practice of medicine. Future healthcare journal. 2021;8(2):e188.
  • Zawacki-Richter O, Marín VI, Bond M, Gouverneur F. Systematic review of research on artificial intelligence applications in higher education–where are the educators? International Journal of Educational Technology in Higher Education. 2019;16(1):1-27.
  • Davenport T, Kalakota R. The potential for artificial intelligence in healthcare. Future healthcare journal. 2019;6(2):94.
  • Alowais SA, Alghamdi SS, Alsuhebany N, et al. Revolutionizing healthcare: the role of artificial intelligence in clinical practice. BMC medical education. 2023;23(1):689.
  • Wang F, Casalino LP, Khullar D. Deep learning in medicine—promise, progress, and challenges. JAMA internal medicine. 2019;179(3):293-4.
  • Cardona MA, Rodríguez RJ, Ishmael K. Artificial Intelligence and the Future of Teaching and Learning: Insights and Recommendations. 2023.
  • Arqawi SM, Zitawi EA, Rabaya AH, Abunasser BS, Abu-Naser SS. Predicting university student retention using artificial intelligence. International Journal of Advanced Computer Science and Applications. 2022;13(9).
  • Sekeroglu B, Dimililer K, Tuncal K. Artificial Intelligence in Education: application in student performance evaluation. Dilemas Contemporáneos: Educación, Política y Valores. 2019;7(1).
  • Kelly S, Kaye S-A, Oviedo-Trespalacios O. What factors contribute to the acceptance of artificial intelligence? A systematic review. Telematics and Informatics. 2023;77:101925.
  • Bergdahl J, Latikka R, Celuch M, et al. Self-determination and attitudes toward artificial intelligence: Cross-national and longitudinal perspectives. Telematics and Informatics. 2023;82:102013.
  • Kaya F, Aydin F, Schepman A, Rodway P, Yetişensoy O, Demir Kaya M. The Roles of Personality Traits, AI Anxiety, and Demographic Factors in Attitudes toward Artificial Intelligence. International Journal of Human–Computer Interaction. 2022:1-18.
  • Schepman A, Rodway P. Initial validation of the general attitudes towards Artificial Intelligence Scale. Computers in human behavior reports. 2020;1:100014.
  • Cao G, Duan Y, Edwards JS, Dwivedi YK. Understanding managers’ attitudes and behavioral intentions towards using artificial intelligence for organizational decision-making. Technovation. 2021;106:102312.
  • Schepman A, Rodway P. The General Attitudes towards Artificial Intelligence Scale (GAAIS): Confirmatory validation and associations with personality, corporate distrust, and general trust. International Journal of Human–Computer Interaction. 2023;39(13):2724-41.
  • Yüzbaşıoğlu E. Attitudes and perceptions of dental students towards artificial intelligence. Journal of dental education. 2021;85(1):60-8.
  • Sit C, Srinivasan R, Amlani A, et al. Attitudes and perceptions of UK medical students towards artificial intelligence and radiology: a multicentre survey. Insights into imaging. 2020;11:1-6.
  • Sur J, Bose S, Khan F, Dewangan D, Sawriya E, Roul A. Knowledge, attitudes, and perceptions regarding the future of artificial intelligence in oral radiology in India: A survey. Imaging Science in Dentistry. 2020;50(3):193.
  • Jungmann F, Jorg T, Hahn F, et al. Attitudes toward artificial intelligence among radiologists, IT specialists, and industry. Academic radiology. 2021;28(6):834-40.
  • Polesie S, Gillstedt M, Kittler H, et al. Attitudes towards artificial intelligence within dermatology: an international online survey. British Journal of Dermatology. 2020;183(1):159-61.
  • Ho M-T, Le N-TB, Mantello P, Ho M-T, Ghotbi N. Understanding the acceptance of emotional artificial intelligence in Japanese healthcare system: A cross-sectional survey of clinic visitors’ attitude. Technology in Society. 2023;72:102166.
  • Swed S, Alibrahim H, Elkalagi NKH, et al. Knowledge, attitude, and practice of artificial intelligence among doctors and medical students in Syria: a cross-sectional online survey. Frontiers in artificial intelligence. 2022;5:1011524.
  • Asmatahasin M, Pratap K, Padma TM, Kalyan VS, Kumar VS. Attitude and perception of dental students towards artificial intelligence. Indian Journal of Basic and Applied Medical Research. 2021;10(3):305-14.
  • Stewart J, Lu J, Gahungu N, et al. Western Australian medical students’ attitudes towards artificial intelligence in healthcare. PLoS One. 2023;18(8):e0290642.
  • Alsobhi M, Khan F, Chevidikunnan MF, Basuodan R, Shawli L, Neamatallah Z. Physical therapists’ knowledge and attitudes regarding artificial intelligence applications in health care and rehabilitation: cross-sectional study. Journal of medical Internet research. 2022;24(10):e39565.
  • Pinto dos Santos D, Giese D, Brodehl S, et al. Medical students' attitude towards artificial intelligence: a multicentre survey. European radiology. 2019;29:1640-6.
  • Shawli L, Alsobhi M, Chevidikunnan MF, 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.
  • Murali S, Bagewadi A, Kumar L, et al. Knowledge, attitude, and perception of dentists regarding the role of artificial intelligence and its applications in oral medicine and radiology: a cross sectional study. Journal of Oral Medicine and Oral Surgery. 2023;29(2):22.
  • Zheng B, Wu M-n, Zhu S-j, et al. Attitudes of medical workers in China toward artificial intelligence in ophthalmology: a comparative survey. BMC Health Services Research. 2021;21(1):1-13.
There are 30 citations in total.

Details

Primary Language English
Subjects Health Services and Systems (Other)
Journal Section Research Article
Authors

Güllü Aydın Yağcıoğlu 0000-0003-1658-7697

Lütfiye Akkurt 0000-0003-3096-513X

Senay Cerezci Duygu 0000-0003-4060-9366

Publication Date September 30, 2025
Submission Date December 23, 2024
Acceptance Date July 13, 2025
Published in Issue Year 2025 Volume: 9 Issue: 3

Cite

APA Aydın Yağcıoğlu, G., Akkurt, L., & Cerezci Duygu, S. (2025). Attitudes and Perceptions of Health Sciences Academicians on Artificial Intelligence. Journal of Basic and Clinical Health Sciences, 9(3), 476-484. https://doi.org/10.30621/jbachs.1606219
AMA Aydın Yağcıoğlu G, Akkurt L, Cerezci Duygu S. Attitudes and Perceptions of Health Sciences Academicians on Artificial Intelligence. JBACHS. September 2025;9(3):476-484. doi:10.30621/jbachs.1606219
Chicago Aydın Yağcıoğlu, Güllü, Lütfiye Akkurt, and Senay Cerezci Duygu. “Attitudes and Perceptions of Health Sciences Academicians on Artificial Intelligence”. Journal of Basic and Clinical Health Sciences 9, no. 3 (September 2025): 476-84. https://doi.org/10.30621/jbachs.1606219.
EndNote Aydın Yağcıoğlu G, Akkurt L, Cerezci Duygu S (September 1, 2025) Attitudes and Perceptions of Health Sciences Academicians on Artificial Intelligence. Journal of Basic and Clinical Health Sciences 9 3 476–484.
IEEE G. Aydın Yağcıoğlu, L. Akkurt, and S. Cerezci Duygu, “Attitudes and Perceptions of Health Sciences Academicians on Artificial Intelligence”, JBACHS, vol. 9, no. 3, pp. 476–484, 2025, doi: 10.30621/jbachs.1606219.
ISNAD Aydın Yağcıoğlu, Güllü et al. “Attitudes and Perceptions of Health Sciences Academicians on Artificial Intelligence”. Journal of Basic and Clinical Health Sciences 9/3 (September2025), 476-484. https://doi.org/10.30621/jbachs.1606219.
JAMA Aydın Yağcıoğlu G, Akkurt L, Cerezci Duygu S. Attitudes and Perceptions of Health Sciences Academicians on Artificial Intelligence. JBACHS. 2025;9:476–484.
MLA Aydın Yağcıoğlu, Güllü et al. “Attitudes and Perceptions of Health Sciences Academicians on Artificial Intelligence”. Journal of Basic and Clinical Health Sciences, vol. 9, no. 3, 2025, pp. 476-84, doi:10.30621/jbachs.1606219.
Vancouver Aydın Yağcıoğlu G, Akkurt L, Cerezci Duygu S. Attitudes and Perceptions of Health Sciences Academicians on Artificial Intelligence. JBACHS. 2025;9(3):476-84.