Advancements in Caries Diagnostics Using Bitewing Radiography: A Systematic Review of Deep Learning Approaches.

ABSTRACT:

Introduction

Deep learning techniques have emerged as promising tools for enhancing the radiographic diagnosis of caries, particularly when utilizing bitewing radiographs.

Methods

Following the PRISMA guidelines, a systematic review was conducted to assess the use of deep learning for caries diagnosis in bitewing radiographs. Literature searches were performed across Web of Science and PubMed databases for studies published before March 2025 that utilized deep learning for caries detection, segmentation, and classification using bitewing radiographs. Data extraction focused on model architectures, dataset characteristics, annotation processes, diagnostic performance metrics, and potential biases, as assessed by the QUADAS-2.

Results

Twenty-three studies met the inclus

SUBMITTER: Horvath KSH 

PROVIDER: S-EPMC12331221 | biostudies-literature | 2025 Jun

REPOSITORIES: biostudies-literature