Deep learning for tooth detection and segmentation in panoramic radiographs: a systematic review and meta-analysis.

ABSTRACT:

Background

This systematic review and meta-analysis aimed to summarize and evaluate the available information regarding the performance of deep learning methods for tooth detection and segmentation in orthopantomographies.

Material and methods

Electronic databases (Medline, Embase and Cochrane) were searched up to September 2023 for relevant observational studies and both, randomized and controlled clinical trials. Two reviewers independently conducted the study selection, data extraction, and quality assessments. GRADE (Grading of Recommendations, Assessment, Development, and Evaluation) assessment was adopted for collective grading of the overall body of evidence. From the 2,207 records identified, 20 studies were included in the analysis. Meta-analysis was conducted for t

SUBMITTER: Bonfanti-Gris M 

PROVIDER: S-EPMC12312236 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature