We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Yapay Zeka ve Sağlıkta Yapay Zekanın Kullanımına Yönelik Sağlık Bilimleri Fakültesi Öğrencilerinin Görüşleri.
- Authors
YILMAZ, Yusuf; UZELLİ YILMAZ, Derya; YILDIRIM, Duygu; AKIN, Esra; ÖZER KAYA, Derya
- Abstract
Objective: This study aimed to determine the opinions of students from health sciences faculty on artificial intelligence (AI) and the use of AI in health. Material and Method: The study utilized a survey design and was conducted with 405 health sciences faculty students participation from nursing (n=182), physiotherapy and rehabilitation (n=191), and nutrition and dietetics (n=32) departments. Research data were collected using an AI opinions questionnaire. Qualitative data were analyzed thematically, and descriptive statistics were used in the analysis of quantitative data. Results: The students stated that almost half (47.9%, n=194) have knowledge toward AI in health, the majority (75.6%, n=306) were aware of the everyday online applications supported by AI, more than half of them knew the use of AI in health (55.8%, n=226) and the majority of the students (92%, n=372) indicated that they learn more about AI from social media. Students expressed their views on the use of AI in health with the themes of positive opinions, negative opinions, concerns, and lack of knowledge about the use of AI in health. The students suggested applications to prevent medical errors, applications to facilitate clinical decision making. Conclusions: This study concludes that health science students are aware of the use of AI and AI in health and they want to use AI tools in their education but they have concerns and lack of knowledge on AI. The curriculum in health sciences education should include AI-related content to prepare future healthcare professionals ready for AI technologies.
- Publication
SDU Journal of Health Science Institute / SDÜ Saglik Bilimleri Enstitüsü Dergisi, 2021, Vol 12, Issue 3, p297
- ISSN
2146-247X
- Publication type
Article
- DOI
10.22312/sdusbed.950372