ArticleJournal of oral biology and craniofacial research
Awareness of endodontists regarding the determination of root canal morphology and configuration using artificial intelligence.
Article in Journal of oral biology and craniofacial research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- A Narrative Review of Teledentistry in the AI Era: Scope, Opportunities, and Future Prospects in India.Cureus · 2026Review
- Editorial: Special issue on application of artificial intelligence in oral and craniofacial care.Journal of oral biology and craniofacial researchArticle
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: Artificial intelligence (AI) is rapidly advancing in Endodontics, particularly through the application of neural networks and deep learning models, that help in identifying complex root canal morphology and configurations, thereby enhancing diagnostic accuracy and treatment planning. This study aimed to assess the awareness of Indian Endodontists regarding AI applications in determining root canal morphology and configuration. Methods: An online survey-based questionnaire was distributed to practicing Endodontists across India using Google Forms, and their responses were recorded. Chi-square test was used to study the association of independent and dependent variables. Results: A survey of 338 practicing endodontists and postgraduate students revealed that less than half were aware of AI models such as Conclusion: Most Endodontists do not have sufficient knowledge to use AI models and do not employ AI software to identify root canal morphology and configuration. This study highlights the necessity for proper training for endodontists to improve the use of AI in determining root canal morphology and configuration.
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Registered trials
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