Assessing the Role of Artificial Intelligence in Caries Detection and Clinical Decision-Making: A Scoping Review
DSM (Netherlands) · Radboud University Nijmegen · +3 more institutions
Abstract
BACKGROUND: Artificial intelligence (AI) support is expected to increase accuracy and improve treatment plans in dentistry. Nevertheless, AI's ability to promote better oral healthcare is underexplored. This scoping review explores the influence of AI in supporting dental professionals with caries detection and decision-making regarding interventions. SUMMARY: Primary articles indexed on PubMed, Web of Science, Embase, Scopus, and Cochrane Library were searched until August 2025. Studies reporting the differences between participants' caries diagnosis process and decision-making with and without AI were included. Studies only reporting algorithm accuracy, in vitro studies, or studies without an outcome related…
Citation impact
- FWCI
- 98.23
- Percentile
- 99%
- References
- 28
Authors
5- DSDilek Sezen-HulsmansCorresponding
DSM (Netherlands), Radboud University Nijmegen, Radboud University Medical Center, Radboud Institute for Molecular Life Sciences
- TPTatiana Pereira‐Cenci
Radboud University Nijmegen, Radboud University Medical Center
- RSRutger Sonneveld
Radboud University Nijmegen, Radboud University Medical Center, Public Risk Management Association
- BABas A.C. Loomans
Radboud University Nijmegen, Radboud University Medical Center
- MSMaximiliano S. Cenci
Radboud University Nijmegen, Radboud University Medical Center
Topics & keywords
- MEDLINE
- Evidence-based dentistry
- Clinical decision making
- Risk assessment
- Applications of artificial intelligence
- Evidence-based medicine
- Oral health
- Peace, Justice and strong institutions