Reliability of artificial intelligence algorithms in automated age estimation using orthopantomograms: A scoping review
AI-driven age estimation using OPGs represents a transformative advancement with considerable forensic and clinical potential. Although these AI models may not yet fully replace conventional techniques, they offer a substantial value as complementary tools, improving both accuracy and operational efficiency. To foster wider adoption and improve reliability, ongoing research and the development of standardized protocols are essential for integrating these methods into forensic odontology and related fields.
Authors
- Vikram Palimar (ORCID: https://orcid.org/0000-0001-5258-1992)
- Spoorti Kulkarni (ORCID: https://orcid.org/0000-0003-3118-7595)
- Sumanth Prabhu
- Andrew Jeyabose (ORCID: https://orcid.org/0000-0003-3592-6543)
Institutions
- University of North Carolina at Chapel Hill (US)
- Yenepoya University (IN)
- Manipal Academy of Higher Education (IN)
- Kasturba Medical College, Manipal (IN)
Publication Details
- Journal
- Digital Health
- Published
- 2025-05-01
- DOI
- https://doi.org/10.1177/20552076251390556
- Primary Topic
- Forensic Anthropology and Bioarchaeology Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00