Knowledge, perception and attitude of dentists regarding the role of artificial intelligence in the field of pediatric dentistry: An online questionnaire study.

IF 2.7 Q1 DENTISTRY, ORAL SURGERY & MEDICINE
Priyanka Razdan, Anirban Das, Syeda Habiba, Sulekha Doley, Durgesh Ashok Tiwari, Prachi Hazari
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Abstract

Background: Knowledge on the potential applications of artificial intelligence (AI) as a diagnostic instrument in the domain of pediatric dentistry is imperative, as AI may significantly influence present and future dental practice.

Objectives: The present study aimed to evaluate the knowledge, perception and attitude of pediatric dentists and postgraduate students in the pediatric specialty with regard to the employment of AI in pediatric dental practice.

Material and methods: An online questionnaire survey was conducted among 375 participants (92 postgraduates, 203 faculty members and 80 private practitioners), who were provided with 19 closeended questions through the Google Forms link sent via email. The questions referred to the knowledge, perception and attitude of the participants, with 17 questions answered using a three-point Likert scale and 2 of them being multiple-choice questions. The responses were analyzed using the χ2, Kruskal-Wallis and Mann-Whitney U tests.

Results: A total of 62% of the participants were familiar with the term 'artificial intelligence', and the majority confirmed that AI could be used for the identification of plaque (57%) and supernumerary teeth (52%), the detection of early childhood caries (ECC) (68%) and the ectopic eruption of first permanent molars (67%), the assessment of child psychology (82%), and the estimation of chronological age (67%). Most participants felt that AI training should be incorporated into the postgraduate curriculum (82%) and were willing to introduce AI to clinical practice (87%). The barriers related to the use of AI were high costs (83%), the lack of training after graduation (78%), the lack of technical knowledge (77%), the fear of misdiagnosis (73%), and the lack of awareness (71%).

Conclusions: The present study concluded that although most pedodontists and postgraduate students had knowledge on AI, there were many obstacles connected with the use of AI in the field of pediatric dentistry. Therefore, the basic training of AI should be included in the curriculum of postgraduate studies.

牙医对人工智能在儿童牙科领域的作用的认识、感知和态度:一项在线问卷研究。
背景:了解人工智能(AI)作为儿科牙科领域诊断工具的潜在应用是必要的,因为人工智能可能会显著影响现在和未来的牙科实践。目的:本研究旨在评估儿科牙医和儿科专业研究生对人工智能在儿科牙科实践中应用的知识、认知和态度。材料与方法:对375名参与者(92名研究生、203名教师和80名私人医生)进行了在线问卷调查,并通过电子邮件发送谷歌Forms链接向他们提供了19个封闭式问题。这些问题涉及参与者的知识、感知和态度,共有17个问题,采用三点李克特量表回答,其中2个是多项选择题。采用χ2、Kruskal-Wallis检验和Mann-Whitney U检验对应答进行分析。结果:共有62%的参与者熟悉“人工智能”一词,大多数人确认人工智能可用于菌斑(57%)和多牙(52%)的鉴定,儿童早期龋齿(ECC)(68%)和第一恒磨牙异位萌出(67%)的检测,儿童心理评估(82%)和实足年龄估计(67%)。大多数参与者认为人工智能培训应纳入研究生课程(82%),并愿意将人工智能引入临床实践(87%)。与使用人工智能相关的障碍是高成本(83%)、毕业后缺乏培训(78%)、缺乏技术知识(77%)、害怕误诊(73%)和缺乏意识(71%)。结论:本研究得出的结论是,尽管大多数儿科医生和研究生对人工智能有一定的了解,但在儿童牙科领域使用人工智能存在许多障碍。因此,应该将人工智能的基础训练纳入研究生课程。
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来源期刊
CiteScore
4.00
自引率
3.80%
发文量
58
审稿时长
53 weeks
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