Diagnostic accuracy of artificial intelligence in determining extraction protocol in orthodontic patients: A systematic review
Neural networks and classifier models demonstrated the high level of accuracy ranging from 82% to 94% in determining the optimal tooth extraction protocol. However, to ensure reliable predictions, artificial intelligence-based models should be rigorously trained, incorporating a comprehensive range of factors.
Authors
- Mahesh Khairnar (ORCID: https://orcid.org/0000-0003-4274-9565)
- Sharvari Mairal
- Ulhaas Kashyap
- Ankita Jamdade
- K J Jakshmi
- Vipul Kumar Sharma
- T. P. Chaturvedi
Institutions
- University of Waterloo (CA)
- Institute of Medical Sciences (IN)
- Banaras Hindu University (IN)
Publication Details
- Journal
- Journal of Orthodontic Science
- Published
- 2025-12-01
- DOI
- https://doi.org/10.4103/jos.jos_66_25
- Primary Topic
- Dental Radiography and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00