A questionnaire study regarding knowledge, attitude and usage of artificial intelligence and machine learning by the orthodontic fraternity of Northern India

Arvind Mengi , Ravnitya Pal Singh , Nancy Mengi , Sneh Kalgotra , Abhishek Singh
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Abstract

Aim

The aim of the questionnaire study was to determine the knowledge, attitude, and perception of orthodontists regarding the role of artificial intelligence in dentistry in general and orthodontics specifically, and to determine the use of artificial intelligence by the orthodontist.

Methods

This cross-sectional study was done among the orthodontists of Northern India (clinicians, academicians, and postgraduates) through a web-based electronic survey using Google Forms. The study was designed to obtain information about AI and its basic usage in daily life, in dentistry, and in orthodontics from the participants. The options given were set specifically according to the Likert scale to maintain the correct format. The questionnaire was validated by one AI expert and one orthodontic expert, followed by pretesting in a smaller group of 25 orthodontists 2 weeks before circulation. A total of 100 orthodontists and postgraduate students responded to the pretested online questionnaire link for 31 questions in four sections sent via social media websites in a period of 3 months.

Results

The majority of the participants believe that AI could be useful in diagnosis and treatment planning and could revolutionize dentistry in general. 84 % of the orthodontic academicians and clinicians, including PG students, consider AI a useful tool for boosting performance and delivering quality care in orthodontics, and 72 % see AI as a partner rather than a competitor in the foreseeable future of dentistry. 90 % of the participants believe that the incorporation of AI into CBCT analysis can be a valuable addition to diagnosis and treatment planning. 86 % of total participants agree that AI can be helpful in decision-making for orthognathic surgery, and 84 % find AI useful for bone age assessment.

Conclusions

It was observed that academicians are more aware of AI terminologies and usage as compared to PG students and clinicians. There is a consensus that AI is a useful tool for diagnosis and treatment planning, boosting performance and quality care in orthodontics. In spite of these facts, 62.5 % of clinicians and 40 % of PG students are still not using AI for cephalometric analysis (p = 0.033).

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关于印度北部正畸兄弟会对人工智能和机器学习的了解、态度和使用情况的问卷调查研究
本问卷研究旨在确定正畸医生对人工智能在牙科,特别是在正畸学中的作用的认识、态度和看法,并确定正畸医生对人工智能的使用情况。方法本横断面研究通过使用谷歌表格对印度北部的正畸医生(临床医生、院士和研究生)进行基于网络的电子调查。研究旨在从参与者那里获取有关人工智能及其在日常生活、牙科和正畸学中的基本应用的信息。为了保持正确的格式,所给出的选项是根据李克特量表专门设置的。问卷由一位人工智能专家和一位正畸专家验证,然后在分发前两周在 25 位正畸医生组成的小组中进行了预试。在 3 个月的时间里,共有 100 名正畸学家和研究生对通过社交媒体网站发送的预试在线问卷链接进行了回复,问卷共分为 4 个部分 31 个问题。84%的正畸学学者和临床医师(包括研究生)认为人工智能是提高正畸学绩效和提供优质护理的有用工具,72%的人认为人工智能是牙科可预见未来的合作伙伴而非竞争对手。90% 的参与者认为,将人工智能纳入 CBCT 分析可为诊断和治疗规划带来宝贵的补充。86%的参与者认为人工智能有助于正颌外科手术的决策,84%的参与者认为人工智能有助于骨龄评估。人们一致认为,人工智能是诊断和治疗计划的有用工具,可提高正畸治疗的绩效和质量。尽管如此,仍有 62.5% 的临床医师和 40% 的研究生没有使用人工智能进行头颅测量分析(p = 0.033)。
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来源期刊
CiteScore
4.90
自引率
0.00%
发文量
133
审稿时长
167 days
期刊介绍: Journal of Oral Biology and Craniofacial Research (JOBCR)is the official journal of the Craniofacial Research Foundation (CRF). The journal aims to provide a common platform for both clinical and translational research and to promote interdisciplinary sciences in craniofacial region. JOBCR publishes content that includes diseases, injuries and defects in the head, neck, face, jaws and the hard and soft tissues of the mouth and jaws and face region; diagnosis and medical management of diseases specific to the orofacial tissues and of oral manifestations of systemic diseases; studies on identifying populations at risk of oral disease or in need of specific care, and comparing regional, environmental, social, and access similarities and differences in dental care between populations; diseases of the mouth and related structures like salivary glands, temporomandibular joints, facial muscles and perioral skin; biomedical engineering, tissue engineering and stem cells. The journal publishes reviews, commentaries, peer-reviewed original research articles, short communication, and case reports.
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