Factors influencing the predictive performance of artificial intelligence for craniofacial growth
The findings suggest that developing highly accurate AI-based craniofacial growth prediction models remains a significant challenge, even with extensive datasets.
Authors
- Jong-Hak Kim
- Heesoo Oh (ORCID: https://orcid.org/0000-0002-6029-6064)
- Shin-Jae Lee (ORCID: https://orcid.org/0000-0003-0650-8502)
- Naeun Kwon
- Heeyeon Suh
Institutions
- University of the Pacific (US)
- Seoul National University (KR)
- Seoul National University Dental Hospital (KR)
Publication Details
- Journal
- The Angle Orthodontist
- Published
- 2025-09-29
- DOI
- https://doi.org/10.2319/031025-197.1
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00