Predictive analysis of root canal morphology in relation to root canal treatment failures: a retrospective study
These findings underscore the importance of root canal morphology in predicting RCT outcomes. Machine learning approaches can enhance clinical decision making, enabling better treatment planning for patients at a higher risk of RCT failure.
Authors
- Mohmed Isaqali Karobari (ORCID: https://orcid.org/0000-0002-0313-9695)
- Sudhir Varma (ORCID: https://orcid.org/0000-0001-6793-9344)
- P J Nagarathna
- Vishnu Priya Veeraraghavan (ORCID: https://orcid.org/0000-0002-5071-9860)
- Santosh Patil (ORCID: https://orcid.org/0000-0003-0715-497X)
- Kodangattil Narayanan Jayaraj (ORCID: https://orcid.org/0000-0001-9023-8853)
Institutions
- Ajman University (AE)
- Chhattisgarh Dental College & Research Institute (IN)
- Saveetha University (IN)
Publication Details
- Journal
- Frontiers in Dental Medicine
- Published
- 2025-04-24
- DOI
- https://doi.org/10.3389/fdmed.2025.1540038
- Citations
- 4
- Primary Topic
- Endodontics and Root Canal Treatments
- Type
- article
- Field-Weighted Citation Impact
- 7.16