Deep learning for classifying the stages of periodontitis on dental images: a systematic review and meta-analysis.

ABSTRACT:

Background

The development of deep learning (DL) algorithms for use in dentistry is an emerging trend. Periodontitis is one of the most prevalent oral diseases, which has a notable impact on the life quality of patients. Therefore, it is crucial to classify periodontitis accurately and efficiently. This systematic review aimed to identify the application of DL for the classification of periodontitis and assess the accuracy of this approach.

Methods

A literature search up to November 2023 was implemented through EMBASE, PubMed, Web of Science, Scopus, and Google Scholar databases. Inclusion and exclusion criteria were used to screen eligible studies, and the quality of the studies was evaluated by the Grading of Recommendations Assessment, Development and Evaluation (GRADE) m

SUBMITTER: Li X 

PROVIDER: S-EPMC10729340 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature