AI for dental imaging: impressive in vitro, but what about in practice?
This systematic review of in-vitro studies highlights the potential of AI to improve the speed or quality of dental imaging tasks. However clinical studies are required to ensure evidence from laboratory studies can translate into clinical practice.
Authors
- Henry David Jeffry Hogg (ORCID: https://orcid.org/0000-0001-8044-7790)
- Thomas E. Evans (ORCID: https://orcid.org/0009-0005-1996-4533)
Institutions
- Birmingham City University (GB)
- University Hospitals Birmingham NHS Foundation Trust (GB)
- Birmingham Community Healthcare NHS Trust (GB)
- University of Birmingham (GB)
Publication Details
- Journal
- Evidence-Based Dentistry
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1038/s41432-025-01198-5
- Citations
- 1
- Primary Topic
- Dental Radiography and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.79