ArticleCureus2023
Evaluation of Knowledge, Attitude, and Practice (KAP) of Artificial Intelligence Among Dentists and Dental Students: A Cross-Sectional Online Survey.
Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed, 32 citations in OpenAlex.
- Educational gaps and factors associated with artificial intelligence adoption among Egyptian periodontists: a multicenter cross-sectional study.Scientific reports · 2026Article
- Evaluating Dental Students' Perspectives on Artificial Intelligence (AI)-Driven Large Language Models in Education in Saudi Arabia.European journal of dental education : official journal of the Association for Dental Education in Europe · 2026Article
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- Dentists', dental students' and patients' knowledge, attitudes and practices on artificial intelligence: a scoping review.BMC oral health · 2026Article
- Global Trends in the Use of Artificial Intelligence in Dental Education: A Bibliometric Analysis.European journal of dental education : official journal of the Association for Dental Education in Europe · 2026Article
- Predicting patient satisfaction in digital orthodontics using a KAC based model integrating AI support and risk stratification.Scientific reports · 2026Article
- Evaluating artificial intelligence large language models in dental education: a cross-sectional survey on usage, perceptions, and integration at a U.S. dental school.Frontiers in digital health · 2026Article
- Assessment of dentists' knowledge, attitude and practice regarding artificial intelligence in periodontics.Bioinformation · 2026Article
- Exploring Senior Dental Students' Readiness and Perceptions of Artificial Intelligence in Dentistry: Insights From a Cross-Sectional Study.International journal of dentistry · 2026Article
- Knowledge, attitudes and practices of clinicians in Shenzhen regarding pediatric streptococcal pharyngitis diagnosis and treatment.Frontiers in cellular and infection microbiology · 2026Article
- Knowledge, attitudes, and practices of pharmacy students and graduates regarding artificial intelligence in healthcare: a multi-regional cross-sectional study predominantly from the Asir region of Saudi Arabia.Frontiers in public health · 2026Article
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- Dentists' perception and use of AI and robotics in the care of persons with disabilities.Scientific reports · 2025Article
- Development and validation of a comprehensive tool to study the various elements influencing the utilization of E-learning among undergraduate health professions students.BMC medical education · 2025Article
- Readiness to use artificial intelligence: a comparative study among dental faculty members and students.BMC medical education · 2025Article
- Exploring dental students' attitudes and perceptions toward artificial intelligence in dentistry in Iran.BMC medical education · 2025Article
- Study Among Dentists of Udaipur Regarding their Awareness Among Artificial Intelligence in Oral Medicine and Radiology: A Cross-Sectional Study.Journal of pharmacy & bioallied sciences · 2025Article
- Knowledge, attitude, and practice of artificial intelligence among doctors and medical students in Saudi Arabia.Journal of family medicine and primary care · 2025Article
- Navigating the integration of artificial intelligence in the medical education curriculum: a mixed-methods study exploring the perspectives of medical students and faculty in Pakistan.BMC medical education · 2025Article
- Knowledge, attitudes, and perceptions of a group of Egyptian dental students toward artificial intelligence: a cross-sectional study.BMC oral health · 2025Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundArtificial intelligence (AI) is the process by which it is possible to program computers to mimic human thoughts. AI and its subsets machine learning and deep learning have been developed to analyze complicated data gathered from many sources using algorithms built into decision support systems. It has been widely used in the field of dentistry.
aimThe study aimed to evaluate the knowledge, attitude, and practice (KAP) of AI among dental students and dentists. METHODOLOGY: The present study is a descriptive cross-sectional online survey that was carried out among dentists and dental students in South India. A self-structured, close-ended questionnaire that was administered that consisted of 25 questions was included. The questions were circulated through Google Forms (Google LLC, Mountain View, California, United States), and it was circulated among the study participants through online mode. The data were collected systematically, and SPSS Statistics version 22.0 (IBM Corp. Released 2013. IBM SPSS Statistics for Windows, Version 22.0. Armonk, NY: IBM Corp.) was used for data analysis.
resultsOne thousand (595 dental surgeons and 405 dental students) participated in the study through Google Forms. Among these, 700 (70%) were females and 300 (30%) were males. In the study group, 635 (63.5%) were aware of AI, and 365 (36.5%) were not aware (p-value 0.000). Among the 21 questions used to assess the KAP, 14 questions were significant with a p-value less than 0.05. More than 60% agreed that the dental curriculum has to be updated with AI. About 269 (26.9%) agreed that AI will replace the role of dentists in the future. There were no significant results in comparing dental surgeons and dental students.
conclusionThe present study showed that the KAP among dental surgeons and dental students was the same. They believe that the dental curriculum has to be updated with AI. This study shows that there is a lack of knowledge about deep learning models and websites used for AI among dentists. Thus, it is necessary to include evidence-based teaching and training about the application of AI in dental practice to improve the future of dentistry.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.