THE APPROACHES AND EXPECTATIONS OF THE HEALTH SCIENCES STUDENTS TOWARDS ARTIFICIAL INTELLIGENCE
Öz
Materials and Methods: The study is planned as a cross-sectional research. In the study, a questionnaire consisting of 55 questions on the future technological, sociological and professional effects of artificial intelligence has been applied to the students. A total of 550 students have been included in the study. In the study, knowledge about the use of artificial intelligence technologies has been also analyzed in addition to the students' thoughts about artificial intelligence.
Results: Most of the students can use artificial intelligence technologies according to the findings of the study. Students mostly think that artificial intelligence will have negative sociological effects in the future. Students assume that artificial intelligence will bring positive contributions to the field of health and medicine. Students think that artificial intelligence will increase the success rate in treatment. Students also think that artificial intelligence will cause unemployment in the future (p<0.05).
Conclusion: Whereas students think that artificial intelligence will have positive effects on technology and health, they assume that it will have negative effects on the subjects of sociology and unemployment. It is supported that medical students ought to get an education on artificial intelligence. Research should be done to increase the positive effects of artificial intelligence on life in the future and to reduce its negative effects.
Anahtar Kelimeler
Kaynakça
- 1. Kutsurelis JE. Forecasting financial markets using neural networks: An analysis of methods and accuracy. Naval Postgraduate School Monterey CA; 1998.
- 2. Staub S, Karaman E, Kaya S, et al. Artificial Neural Network and Agility. Procedia - Soc Behav Sci. 2015; 195: 1477-1485.
- 3. Mintz Y, Brodie R. Introduction to artificial intelligence in medicine. Minim Invasive Ther Allied Technol. 2019; 28(2): 73-81.
- 4. Bahrammirzaee A. A comparative survey of artificial intelligence applications in finance: Artificial neural networks, expert system and hybrid intelligent systems. Neural Comput Appl. 2010; 19(8): 1165-1195.
- 5. Jha K, Doshi A, Patel P, et al. A comprehensive review on automation in agriculture using artificial intelligence. Artif Intell Agric. 2019; 2: 1-12.
- 6. Hengstler M, Enkel E, Duelli S. Applied artificial intelligence and trust-The case of autonomous vehicles and medical assistance devices. Technol Forecast Soc Change. 2016; 105: 105-120.
- 7. Pinto dos Santos D, Giese D, Brodehl S, et al. Medical students’ attitude towards artificial intelligence: a multicentre survey. Eur Radiol. 2019; 29(4): 1640-1646.
- 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 Imaging. 2020; 11: 14.
Ayrıntılar
Birincil Dil
İngilizce
Konular
Sağlık Kurumları Yönetimi
Bölüm
Araştırma Makalesi
Yazarlar
Adem Doğaner
*
0000-0002-0270-9350
Türkiye
Yayımlanma Tarihi
30 Nisan 2021
Gönderilme Tarihi
9 Mart 2021
Kabul Tarihi
31 Mart 2021
Yayımlandığı Sayı
Yıl 2021 Cilt: 2 Sayı: 1
