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 …

The use of artificial intelligence (AI) technology in dentistry provides information that aids
clinical decision-making by interpreting big data quickly. This study aims to systematically …

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 …

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 …

Objectives Deep learning (DL) has been increasingly employed for automated landmark
detection, eg, for cephalometric purposes. We performed a systematic review and meta …

The TRIPOD (Transparent Reporting of a multivariable prediction model for Individual
Prognosis Or Diagnosis) statement was published in 2015 to provide the minimum reporting …

Objectives Despite deep learning's wide adoption in dental artificial intelligence (AI)
research, researchers from other dental fields and, more so, dental professionals may find it …

Aim The goal was to use a deep convolutional neural network to measure the radiographic
alveolar bone level to aid periodontal diagnosis. Materials and Methods A deep learning …

Purpose To present a novel protocol for authentic three-dimensional (3D) planning of dental
implants, using artificial intelligence (AI) and augmented reality (AR). Methods The novel …