Objectives Detecting caries lesions is challenging for dentists, and deep learning models
may help practitioners to increase accuracy and reliability. We aimed to systematically …

Objective To perform a comprehensive review of the use of artificial intelligence (AI) and
machine learning (ML) in dentistry, providing the community with a broad insight on the …

Background Deep learning is a state-of-the-art technology that has rapidly become the
method of choice for medical image analysis. Its fast and robust object detection …

Objective. The objective of this systematic review was to investigate the quality and outcome
of studies into artificial intelligence techniques, analysis, and effect in dentistry. Materials …

Objectives The number of studies employing artificial intelligence (AI), specifically machine
and deep learning, is growing fast. The majority of studies suffer from limitations in planning …

Although visual examination (VE) is the preferred method for caries detection, the analysis of
intraoral digital photographs in machine-readable form can be considered equivalent to VE …

Background: Machine learning (ML) is a key component of artificial intelligence (AI). The
terms machine learning, artificial intelligence, and deep learning are erroneously used …

Objectives: Deep learning methods have achieved impressive diagnostic performance in the
field of radiology. The current study aimed to use deep learning methods to detect caries …

The early detection of initial dental caries enables preventive treatment, and bitewing
radiography is a good diagnostic tool for posterior initial caries. In medical imaging, the …

Objectives: We aimed to assess the impact of an artificial intelligence (AI)-based diagnostic-
support software for proximal caries detection on bitewing radiographs. Methods: A cluster …