Affiliation:
1. Department of Oral and Maxillofacial Radiology Yonsei University College of Dentistry Seoul Korea
2. Department of Dental Hygiene Daejeon Institute of Science and Technology Daejeon Korea
3. Department of Dental Hygiene Kyungdong University Gangwon‐do Korea
4. Department of Dental Hygiene Suwon Science College Gyeonggi‐do Korea
Abstract
AbstractObjectivesThis study investigated Korean dental hygiene students’ perceptions and attitudes toward artificial intelligence (AI) and aimed to identify needs for education to strengthen professional competencies.MethodsA 24‐question online survey was conducted to the dental hygiene students from four Korean schools in 2021. The questionnaire included seven questions on basic characteristics and 17 AI‐related questions on the student's attitudes toward AI, the confidence in AI, predictions about AI, and its future prospects. Responses were analyzed according to the frequencies and correlations between the participants’ subjective level of knowledge about AI and questions using chi‐square test.ResultsInvitations were sent out to 1310 students and 800 (61.1%) participated. Note that 44.2% of participants were interested in AI, and 93.1% accessed AI‐related information through the internet. Participants expressed lower confidence in AI's diagnosis (14.8%) and judgment (8.1%) than in those of humans, and 21.9% believed AI would replace their job. The proportions of participants with positive perceptions of the usefulness and the potential for improvement of AI in dentistry were 65.5% and 55.4%, respectively. Participants from schools who had existing AI knowledge expressed higher demands for AI‐related content as compared to those who did not (p < 0.05).ConclusionAlthough dental hygiene students expressed low level of confidence in AI, they were interested in AI and had positive views of its application and potential for improvement. However, the fact they had little AI‐related information from dental hygiene curriculum strongly suggests the need for AI‐related lectures in schools to prepare for the future.
Reference20 articles.
1. The use and performance of artificial intelligence applications in dental and maxillofacial radiology: A systematic review
2. Attitudes toward artificial intelligence in radiology with learner needs assessment within radiology residency programmes: a national multi-programme survey
3. The 4th industrial revolution and artificial intelligence: an introductory review;Ju K;The Journal of Korean Operations Reseach and Management Science Society,2017
4. Has the future started? The current growth of artificial intelligence, machine learning, and deep learning;Aggarwal K;Iraqi Journal For Computer Science and Mathematics,2022
5. Artificial Intelligence (AI) applications for COVID-19 pandemic
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