A Scoping Review on Synthetic Datasets: Opportunities, Challenges and Future Directions for Endodontics
Synthetic data use in endodontics is still emerging but holds strong potential. While GANs dominate current research, diffusion and hybrid models may yield more realistic images. Future efforts should focus on generating diverse, clinically representative datasets to improve diagnostics, education, and AI-driven endodontic care.
Authors
- Nighat Naved (ORCID: https://orcid.org/0000-0003-4994-5841)
- Fahad Umer (ORCID: https://orcid.org/0000-0003-3817-5941)
Institutions
- Aga Khan University Hospital (PK)
Publication Details
- Journal
- International Endodontic Journal
- Published
- 2026-02-18
- DOI
- https://doi.org/10.1111/iej.70116
- Primary Topic
- Dental Radiography and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00