{"title":"Attitudes and Perceptions of Australian Dentists and Dental Students Towards Applications of Artificial Intelligence in Dentistry: A Survey.","authors":"Shwetha Hegde, Shanika Nanayakkara, Ashleigh Jordan, Omar Jeha, Usaamah Patel, Vivian Luu, Jinlong Gao","doi":"10.1111/eje.13042","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>As artificial intelligence (AI) rapidly evolves in dentistry, understanding dentists' and dental students' perspectives is key. This survey evaluated Australian dentists' and students' attitudes and perceptions of AI in dentistry.</p><p><strong>Methods: </strong>An online questionnaire developed on Qualtrics was distributed among registered Australian dentists and students enrolled in accredited Australian dental or oral health programmes. Descriptive and bivariate analyses were used to examine the demographic variables and participant attitudes.</p><p><strong>Results: </strong>177 responses were received, and 155 complete responses were used in data analysis. 54.8% were aware of dental AI applications, but 70.3% could not name a specific AI software. A majority (91.6%) viewed AI as a supportive tool, with 69% believing that it would be beneficial in clinical tasks and 35.6% expecting it to perform similarly to an average specialist. 40% anticipated that dental AI would be routinely used in the next 5-10 years, with more dental students expecting this short-term integration. Concerns included job displacement, inflexibility in patient care, and mistrust of AI's accuracy. Attitudes towards AI were influenced by age, gender, clinical experience and technological proficiency.</p><p><strong>Conclusions: </strong>The survey underscores the potential of AI to revolutionise dental care, enhancing clinical workflows and decision-making. However, challenges like trust in AI and ethical concerns remain. It is recommended that practising dentists receive hands-on training with AI tools and continuing dental education programmes. Integrating AI into dental curricula and fostering interdisciplinary teaching and research collaborations between computer science and dentistry is necessary to prepare graduates to use AI effectively and responsibly.</p>","PeriodicalId":50488,"journal":{"name":"European Journal of Dental Education","volume":" ","pages":""},"PeriodicalIF":1.7000,"publicationDate":"2024-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Journal of Dental Education","FirstCategoryId":"95","ListUrlMain":"https://doi.org/10.1111/eje.13042","RegionNum":4,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"DENTISTRY, ORAL SURGERY & MEDICINE","Score":null,"Total":0}
引用次数: 0
Abstract
Introduction: As artificial intelligence (AI) rapidly evolves in dentistry, understanding dentists' and dental students' perspectives is key. This survey evaluated Australian dentists' and students' attitudes and perceptions of AI in dentistry.
Methods: An online questionnaire developed on Qualtrics was distributed among registered Australian dentists and students enrolled in accredited Australian dental or oral health programmes. Descriptive and bivariate analyses were used to examine the demographic variables and participant attitudes.
Results: 177 responses were received, and 155 complete responses were used in data analysis. 54.8% were aware of dental AI applications, but 70.3% could not name a specific AI software. A majority (91.6%) viewed AI as a supportive tool, with 69% believing that it would be beneficial in clinical tasks and 35.6% expecting it to perform similarly to an average specialist. 40% anticipated that dental AI would be routinely used in the next 5-10 years, with more dental students expecting this short-term integration. Concerns included job displacement, inflexibility in patient care, and mistrust of AI's accuracy. Attitudes towards AI were influenced by age, gender, clinical experience and technological proficiency.
Conclusions: The survey underscores the potential of AI to revolutionise dental care, enhancing clinical workflows and decision-making. However, challenges like trust in AI and ethical concerns remain. It is recommended that practising dentists receive hands-on training with AI tools and continuing dental education programmes. Integrating AI into dental curricula and fostering interdisciplinary teaching and research collaborations between computer science and dentistry is necessary to prepare graduates to use AI effectively and responsibly.
期刊介绍:
The aim of the European Journal of Dental Education is to publish original topical and review articles of the highest quality in the field of Dental Education. The Journal seeks to disseminate widely the latest information on curriculum development teaching methodologies assessment techniques and quality assurance in the fields of dental undergraduate and postgraduate education and dental auxiliary personnel training. The scope includes the dental educational aspects of the basic medical sciences the behavioural sciences the interface with medical education information technology and distance learning and educational audit. Papers embodying the results of high-quality educational research of relevance to dentistry are particularly encouraged as are evidence-based reports of novel and established educational programmes and their outcomes.