Evaluation of the predictors of tooth loss using artificial intelligence-based machine learning approach: A retrospective study
By analyzing comprehensive datasets, machine learning models can enhance the accuracy and objectivity of tooth loss prediction. While challenges remain, such as data quality and privacy concerns, integrating machine learning algorithms in dentistry can revolutionize dental healthcare, improve patient outcomes, and reshape the future of periodontics.
Authors
- PR Ganesh
- Pradeep Kumar Yadalam (ORCID: https://orcid.org/0000-0002-6653-4123)
- Amit Pawar (ORCID: https://orcid.org/0009-0000-2971-7177)
- Sankari Malaiappan (ORCID: https://orcid.org/0000-0002-4146-2477)
Institutions
- Tamil Nadu Government Dental College and Hospital (IN)
- Saveetha University (IN)
Publication Details
- Journal
- Journal of Indian Society of Periodontology
- Published
- 2025-01-01
- DOI
- https://doi.org/10.4103/jisp.jisp_37_24
- Citations
- 3
- Primary Topic
- Dental Radiography and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 5.37