Singh Nishi, Pandey Anushka, Tikku Aseem Prakash, Verma Promila, Singh Balendra Pratap
Department of Conservative Dentistry & Endodontics, Faculty of Dentistry, King George's Medical University (KGMU), Lucknow, UP, India.
Faculty of Dental Sciences, King George's Medical University (KGMU), Lucknow, UP, India.
J Oral Biol Craniofac Res. 2023 Sep-Oct;13(5):584-588. doi: 10.1016/j.jobcr.2023.06.006. Epub 2023 Jul 31.
To know attitudes, perceptions and barriers towards the use of Artificial Intelligence (AI) in dentistry in India among undergraduate and postgraduate students.
A questionnaire-based cross-sectional study was conducted among participants pursuing graduation and postgraduation. The questionnaire consisted of 23 close-ended and 2 open-ended questions divided into various sections of attitude, perception and barriers. The data was analysed using Statistical Package for Social Sciences (SPSS) version 24.0.
Out of 937 responses, 55.2% responded that they get information about AI from social media platforms. 51.3% of respondents have basic knowledge about the use of AI in dentistry. 59.6% agreed that AI can be used as a "definitive diagnostic tool" in the diagnosis of diseases. 66.5% agreed that AI can be used for radiographic diagnosis of tooth caries. 71.3% stated that AI can be used as a "treatment planning tool" in dentistry. 55.7% stated that AI should be part of undergraduate dental training.
This study concluded that both dental students are aware of the concept of AI. Participants were positive when asked if AI can increase the efficiency of diagnosis, prognosis and treatment planning procedures as well as in managing patient data. Both participants believed that the barriers to the introduction of AI in dentistry are a lack of technical resources and a lack of training personnel in college.
了解印度本科和研究生阶段的牙科学生对在牙科领域使用人工智能（AI）的态度、认知及障碍。
对正在攻读本科和研究生学位的参与者进行了一项基于问卷的横断面研究。问卷由23个封闭式问题和2个开放式问题组成，分为态度、认知和障碍等不同部分。使用社会科学统计软件包（SPSS）24.0版对数据进行分析。
在937份回复中，55.2%的人表示他们从社交媒体平台获取有关人工智能的信息。51.3%的受访者对人工智能在牙科领域的应用有基本了解。59.6%的人同意人工智能可作为疾病诊断的“确定性诊断工具”。66.5%的人同意人工智能可用于龋齿的影像学诊断。71.3%的人表示人工智能可作为牙科领域的“治疗计划工具”。55.7%的人表示人工智能应成为本科牙科培训的一部分。
本研究得出结论，牙科学生都了解人工智能的概念。当被问及人工智能是否可以提高诊断、预后和治疗计划程序的效率以及管理患者数据时，参与者持积极态度。双方参与者都认为，牙科领域引入人工智能的障碍是缺乏技术资源和高校缺乏培训人员。
