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Perceptions and attitudes of dental students and dentists in South Korea toward artificial intelligence: a subgroup analysis based on professional seniority

Authors
 Hui Jeong  ;  Sang-Sun Han  ;  Hoi-In Jung  ;  Wan Lee  ;  Kug Jin Jeon 
Citation
 BMC MEDICAL EDUCATION, Vol.24(1) : 430, 2024-04 
Journal Title
BMC MEDICAL EDUCATION
Issue Date
2024-04
MeSH
Adult ; Artificial Intelligence* ; Attitude of Health Personnel* ; Dentists* / psychology ; Female ; Humans ; Male ; Republic of Korea ; Students, Dental* / psychology ; Surveys and Questionnaires ; Young Adult
Keywords
Artificial intelligence ; Attitude ; Dental students ; Dentists ; Perception
Abstract
Background: This study explored dental students’ and dentists’ perceptions and attitudes toward artificial intelligence (AI) and analyzed differences according to professional seniority. Methods: In September to November 2022, online surveys using Google Forms were conducted at 2 dental colleges and on 2 dental websites. The questionnaire consisted of general information (8 or 10 items) and participants’ perceptions, confidence, predictions, and perceived future prospects regarding AI (17 items). A multivariate logistic regression analysis was performed on 4 questions representing perceptions and attitudes toward AI to identify highly influential factors according to position, age, sex, residence, and self-reported knowledge level about AI of respondents. Participants were reclassified into 2 subgroups based on students’ years in school and 4 subgroups based on dentists’ years of experience. The chi-square test or Fisher’s exact test was used to determine differences between dental students and dentists and between subgroups for all 17 questions. Results: The study included 120 dental students and 96 dentists. Participants with high level of AI knowledge were more likely to be interested in AI compared to those with moderate or low level (adjusted OR 24.345, p < 0.001). Most dental students (60.8%) and dentists (67.7%) predicted that dental AI would complement human limitations. Dental students responded that they would actively use AI in almost all cases (40.8%), while dentists responded that they would use AI only when necessary (44.8%). Dentists with 11–20 years of experience were the most likely to disagree that AI could outperform skilled dentists (50.0%), and respondents with longer careers had higher response rates regarding the need for AI education in schools. Conclusions: Knowledge level about AI emerged as the factor influencing perceptions and attitudes toward AI, with both dental students and dentists showing similar views on recognizing the potential of AI as an auxiliary tool. However, students’ and dentists’ willingness to use AI differed. Although dentists differed in their confidence in the abilities of AI, all dentists recognized the need for education on AI. AI adoption is becoming a reality in dentistry, which requires proper awareness, proper use, and comprehensive AI education. © The Author(s) 2024.
Files in This Item:
T202403249.pdf Download
DOI
10.1186/s12909-024-05441-y
Appears in Collections:
2. College of Dentistry (치과대학) > Dept. of Oral and Maxillofacial Radiology (영상치의학교실) > 1. Journal Papers
2. College of Dentistry (치과대학) > Dept. of Preventive Dentistry and Public Oral Health (예방치과학교실) > 1. Journal Papers
Yonsei Authors
Jeon, Kug Jin(전국진) ORCID logo https://orcid.org/0000-0002-5862-2975
Jung, Hoi In(정회인) ORCID logo https://orcid.org/0000-0002-1978-6926
Han, Sang Sun(한상선) ORCID logo https://orcid.org/0000-0003-1775-7862
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/199722
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