Attitudes, perceptions and knowledge regarding the future of artificial intelligence in oral radiology among a group of dental students in Turkey: A survey

Objective: This study investigated knowledge, attitudes, and perceptions regarding the future of artificial intelligence (AI) for radiological diagnosis among a group Turkish dental students. 
 Methods: An online survey was conducted consisting 11 questions using Google Forms circulated 4th 5th grade students at Marmara University, Faculty Dentistry. The consisted participants’ recognition attitudes toward AI, their opinions on directions AI development, about in oral radiology. IBM SPSS Statistics 25.0 (IBM SPSS, Turkey) program is used statistical analysis. Results: consists 75 65 grades total 140 Of participating students, 60.0 % were already familiar with concept 92.9% agreed stated that they would like to use software/program can be helpful 37.9 reported have Turkey. Among two grades, there no statistically significant difference answers role radiology (p>0.05).
 Conclusion: According findings study, most aware systems could improve diagnostic accuracy when reading radiographs, has promising diagnosis.