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Attitudes of medical school students toward artificial intelligence in medical education: A survey study

Yıl 2024, Cilt: 41 Sayı: 3, 611 - 618, 30.09.2024

Öz

This study aimed to assess medical students' knowledge and attitudes towards artificial intelligence (AI) models and their potential role in medical education and healthcare. A cross-sectional study was conducted among 398 students of Ondokuz Mayıs University Medical Faculty using an online questionnaire administered through Google Forms. Participants' awareness of AI applications, their usage patterns, and their opinions on AI's role in medical education were evaluated. The study found extensive awareness of AI applications among participants, with ChatGPT being the most recognized (%95). The majority of students believed that AI models could benefit medical education and assist in diagnosis and treatment when collaborating with doctors. However, concerns were raised regarding the potential for incorrect results, patient safety, and ethical issues. While students recognized the potential of AI-supported education to enhance learning motivation, they expressed concerns about its impact on creativity. Significant differences were found between classes regarding the acceptance of the proposition that artificial intelligence models will take over our profession in the future (p=0.001). Participants aware of AI applications exhibited a higher agreement rate with the proposition that AI-assisted education is more advantageous than traditional methods (p=0.022). Medical students recognize the potential benefits of AI models in clinical practice and medical education but also highlight concerns about ethical considerations and potential limitations. These findings emphasize the importance of a balanced approach to integrating AI into medical education and practice.

Etik Beyan

This study received approval from the Ondokuz Mayıs University Clinical Research Ethics Committee, dated 31/01/2024, with reference number OMU-KAEK 2024/39.

Kaynakça

  • Sun L, Yin C, Xu Q, Zhao W. Artificial intelligence for health care and medical education: a systematic review. Am J Transl Res. 2023 Jul 15;15(7):4820-28.
  • Russo, Amanda. Recession and Automation Changes Our Future of Work, But There are Jobs Coming, Report Says. World Economic Forum. October 20, 2020.
  • Dökme Yağar, Sema. (2023). ChatGPT’nin sağlık alanındaki potansiyel kullanımına ilişkin çıkarımlar. Business & Management Studies: An International Journal. 11. 1226-40.
  • Masoumian Hosseini M, Masoumain Hosseini T, Qayumi K. Integration of Artificial Intelligence in Medical Education: Opportunities, Challenges, and Ethical Considerations. J Med Edu. 2023;22(1):e140890.
  • Narayanan S, Ramakrishnan R, Durairaj E, et al. Artificial Intelligence Revolutionizing the Field of Medical Education. Cureus 15(11): e49604.
  • Öcal, E. E., Atay, E., Önsüz, M. F., Algın, F., Vd. (2020). Tıp Fakültesi Öğrencilerinin Tıpta Yapay Zekâ ile İlgili Düşünceleri. Türk Tıp Öğrencileri Araştırma Dergisi, 2(1), 9-16.
  • Ataoğlu S. Tıp Eğitimi İlkeleri, Eğitim Amaçları ve Değerlendirme Stratejisi. Duzce Med J. Aralık 2018;20(3):57-8.
  • Filiz, E., Güzel, Ş. & Şengül, A. (2022). Sağlık Profesyonellerinin Yapay Zekâ Kaygı Durumlarının İncelenmesi. Journal of Academic Value Studies, 8(1), 47-55.
  • Oh, S., Kim, J. H., Choi, S. W., Lee, H. J., Hong, J., &Kwon, S. H. (2019). Physician Confidence in Artificial Intelligence: An Online Mobile Survey. Journal of medical Internet research, 21(3), e12422.
  • PintoDosSantos, D., Giese, D., Brodehl, S., Chon, S. H., Staab, W., Kleinert, R., Maintz, D., &Baeßler, B. (2019). Medical students' attitude towards artificial intelligence: a multicentre survey. European radiology, 29(4), 1640–46.
  • Artıfıcıal Intellıgence: Medıcal Student S Attıtude In Dıstrıct Peshawar Pakıstan. (2019). Pakistan Journal of Public Health, 9(1), 19-21.
  • Esteva, A., Kuprel, B., Novoa, R. et al. Dermatologist-level classification of skin cancer with deep neural networks. Nature 542, 115–18 (2017).
  • Guo, J., &Li, B. (2018). The Application of Medical Artificial Intelligence Technology in Rural Areas of Developing Countries. Healthe quity, 2(1), 174–81.
  • CH. Tıpta yapay zekâ ve etik. Ekmekci PE, editör. Yapay Zekâ ve Tıp Etiği. 1. Baskı. Ankara: Türkiye Klinikleri; 2020. p.7-13.
  • De Cassai, A., & Dost, B. (2023). Concerns regarding the uncritical use of ChatGPT: a critical analysis of AI-generated references in the context of regional anesthesia. Regional anesthesia and pain medicine, rapm-2023-104771. Advance online publication.
  • Yılmaz Y, Uzelli Yılmaz D, Yıldırım D, Akın Korhan E, Özer Kaya D. Yapay Zekâ ve Sağlıkta Yapay Zekânın Kullanımına Yönelik Sağlık Bilimleri Fakültesi Öğrencilerinin Görüşleri. Süleyman Demirel Üniversitesi Sağlık Bilimleri Dergisi. 2021;12(3):297-308.
  • Gong, B., Nugent, J. P., Guest, W., Parker, W., Chang, P. J., Khosa, F., &Nicolaou, S. (2019). Influence of Artificial Intelligence on Canadian Medical Students' Preference for Radiology Specialty: A National Survey Study. Academicradiology, 26(4), 566–77.
  • Kimmerle J, Timm J, Festl-Wietek T, Cress U, Herrmann-Werner A. Medical Students' Attitudes Toward AI in Medicine and their Expectations for Medical Education. J Med Educ Curric Dev. 2023 Dec 6;10:23821205231219346.
Yıl 2024, Cilt: 41 Sayı: 3, 611 - 618, 30.09.2024

Öz

Kaynakça

  • Sun L, Yin C, Xu Q, Zhao W. Artificial intelligence for health care and medical education: a systematic review. Am J Transl Res. 2023 Jul 15;15(7):4820-28.
  • Russo, Amanda. Recession and Automation Changes Our Future of Work, But There are Jobs Coming, Report Says. World Economic Forum. October 20, 2020.
  • Dökme Yağar, Sema. (2023). ChatGPT’nin sağlık alanındaki potansiyel kullanımına ilişkin çıkarımlar. Business & Management Studies: An International Journal. 11. 1226-40.
  • Masoumian Hosseini M, Masoumain Hosseini T, Qayumi K. Integration of Artificial Intelligence in Medical Education: Opportunities, Challenges, and Ethical Considerations. J Med Edu. 2023;22(1):e140890.
  • Narayanan S, Ramakrishnan R, Durairaj E, et al. Artificial Intelligence Revolutionizing the Field of Medical Education. Cureus 15(11): e49604.
  • Öcal, E. E., Atay, E., Önsüz, M. F., Algın, F., Vd. (2020). Tıp Fakültesi Öğrencilerinin Tıpta Yapay Zekâ ile İlgili Düşünceleri. Türk Tıp Öğrencileri Araştırma Dergisi, 2(1), 9-16.
  • Ataoğlu S. Tıp Eğitimi İlkeleri, Eğitim Amaçları ve Değerlendirme Stratejisi. Duzce Med J. Aralık 2018;20(3):57-8.
  • Filiz, E., Güzel, Ş. & Şengül, A. (2022). Sağlık Profesyonellerinin Yapay Zekâ Kaygı Durumlarının İncelenmesi. Journal of Academic Value Studies, 8(1), 47-55.
  • Oh, S., Kim, J. H., Choi, S. W., Lee, H. J., Hong, J., &Kwon, S. H. (2019). Physician Confidence in Artificial Intelligence: An Online Mobile Survey. Journal of medical Internet research, 21(3), e12422.
  • PintoDosSantos, D., Giese, D., Brodehl, S., Chon, S. H., Staab, W., Kleinert, R., Maintz, D., &Baeßler, B. (2019). Medical students' attitude towards artificial intelligence: a multicentre survey. European radiology, 29(4), 1640–46.
  • Artıfıcıal Intellıgence: Medıcal Student S Attıtude In Dıstrıct Peshawar Pakıstan. (2019). Pakistan Journal of Public Health, 9(1), 19-21.
  • Esteva, A., Kuprel, B., Novoa, R. et al. Dermatologist-level classification of skin cancer with deep neural networks. Nature 542, 115–18 (2017).
  • Guo, J., &Li, B. (2018). The Application of Medical Artificial Intelligence Technology in Rural Areas of Developing Countries. Healthe quity, 2(1), 174–81.
  • CH. Tıpta yapay zekâ ve etik. Ekmekci PE, editör. Yapay Zekâ ve Tıp Etiği. 1. Baskı. Ankara: Türkiye Klinikleri; 2020. p.7-13.
  • De Cassai, A., & Dost, B. (2023). Concerns regarding the uncritical use of ChatGPT: a critical analysis of AI-generated references in the context of regional anesthesia. Regional anesthesia and pain medicine, rapm-2023-104771. Advance online publication.
  • Yılmaz Y, Uzelli Yılmaz D, Yıldırım D, Akın Korhan E, Özer Kaya D. Yapay Zekâ ve Sağlıkta Yapay Zekânın Kullanımına Yönelik Sağlık Bilimleri Fakültesi Öğrencilerinin Görüşleri. Süleyman Demirel Üniversitesi Sağlık Bilimleri Dergisi. 2021;12(3):297-308.
  • Gong, B., Nugent, J. P., Guest, W., Parker, W., Chang, P. J., Khosa, F., &Nicolaou, S. (2019). Influence of Artificial Intelligence on Canadian Medical Students' Preference for Radiology Specialty: A National Survey Study. Academicradiology, 26(4), 566–77.
  • Kimmerle J, Timm J, Festl-Wietek T, Cress U, Herrmann-Werner A. Medical Students' Attitudes Toward AI in Medicine and their Expectations for Medical Education. J Med Educ Curric Dev. 2023 Dec 6;10:23821205231219346.
Toplam 18 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Sağlık Hizmetleri ve Sistemleri (Diğer)
Bölüm Research Article
Yazarlar

Burhan Dost 0000-0002-4562-1172

Hale Betül Çörtük 0009-0005-1954-8791

Gökçe Nur Akgün 0009-0009-3829-4204

Mete Üzüm 0009-0001-5011-4095

Cengiz Tuna Ulperen 0009-0002-7047-3105

Ebru Şahin 0009-0004-0002-3824

Batuhan Yilman 0009-0005-2945-7965

Ghazal Zakizadeh Afshar 0009-0005-3433-1259

Leila Khosravimaleki 0009-0002-4176-5491

Ozlem Terzi 0000-0002-9524-5582

Yayımlanma Tarihi 30 Eylül 2024
Gönderilme Tarihi 16 Nisan 2024
Kabul Tarihi 3 Temmuz 2024
Yayımlandığı Sayı Yıl 2024 Cilt: 41 Sayı: 3

Kaynak Göster

APA Dost, B., Çörtük, H. B., Akgün, G. N., Üzüm, M., vd. (2024). Attitudes of medical school students toward artificial intelligence in medical education: A survey study. Journal of Experimental and Clinical Medicine, 41(3), 611-618.
AMA Dost B, Çörtük HB, Akgün GN, Üzüm M, Ulperen CT, Şahin E, Yilman B, Afshar GZ, Khosravimaleki L, Terzi O. Attitudes of medical school students toward artificial intelligence in medical education: A survey study. J. Exp. Clin. Med. Eylül 2024;41(3):611-618.
Chicago Dost, Burhan, Hale Betül Çörtük, Gökçe Nur Akgün, Mete Üzüm, Cengiz Tuna Ulperen, Ebru Şahin, Batuhan Yilman, Ghazal Zakizadeh Afshar, Leila Khosravimaleki, ve Ozlem Terzi. “Attitudes of Medical School Students Toward Artificial Intelligence in Medical Education: A Survey Study”. Journal of Experimental and Clinical Medicine 41, sy. 3 (Eylül 2024): 611-18.
EndNote Dost B, Çörtük HB, Akgün GN, Üzüm M, Ulperen CT, Şahin E, Yilman B, Afshar GZ, Khosravimaleki L, Terzi O (01 Eylül 2024) Attitudes of medical school students toward artificial intelligence in medical education: A survey study. Journal of Experimental and Clinical Medicine 41 3 611–618.
IEEE B. Dost, “Attitudes of medical school students toward artificial intelligence in medical education: A survey study”, J. Exp. Clin. Med., c. 41, sy. 3, ss. 611–618, 2024.
ISNAD Dost, Burhan vd. “Attitudes of Medical School Students Toward Artificial Intelligence in Medical Education: A Survey Study”. Journal of Experimental and Clinical Medicine 41/3 (Eylül 2024), 611-618.
JAMA Dost B, Çörtük HB, Akgün GN, Üzüm M, Ulperen CT, Şahin E, Yilman B, Afshar GZ, Khosravimaleki L, Terzi O. Attitudes of medical school students toward artificial intelligence in medical education: A survey study. J. Exp. Clin. Med. 2024;41:611–618.
MLA Dost, Burhan vd. “Attitudes of Medical School Students Toward Artificial Intelligence in Medical Education: A Survey Study”. Journal of Experimental and Clinical Medicine, c. 41, sy. 3, 2024, ss. 611-8.
Vancouver Dost B, Çörtük HB, Akgün GN, Üzüm M, Ulperen CT, Şahin E, Yilman B, Afshar GZ, Khosravimaleki L, Terzi O. Attitudes of medical school students toward artificial intelligence in medical education: A survey study. J. Exp. Clin. Med. 2024;41(3):611-8.