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 …

In the last few years, artificial intelligence (AI) research has been rapidly developing and
emerging in the field of dental and maxillofacial radiology. Dental radiography, which is …

Accurate segmentation of the jaw (ie, mandible and maxilla) and the teeth in cone beam
computed tomography (CBCT) scans is essential for orthodontic diagnosis and treatment …

Background With the advent of deep learning in modern computing there has been
unprecedented progress in image processing and segmentation. Deep learning-based …

The increasing use of three-dimensional (3D) imaging techniques in dental medicine has
boosted the development and use of artificial intelligence (AI) systems for various clinical …

Machine learning (ML) is being increasingly employed in dental research and application.
We aimed to systematically compile studies using ML in dentistry and assess their …

Objectives To train and validate a cloud-based convolutional neural network (CNN) model
for automated segmentation (AS) of dental implant and attached prosthetic crown on cone …

Statement of problem Artificial intelligence (AI) applications are increasing in restorative
procedures. However, the current development and performance of AI in restorative dentistry …

Objectives The aim of this review was to investigate the application of artificial intelligence
(AI) in maxillofacial computer-assisted surgical planning (CASP) workflows with the …

Abstract Introduction Training of Artificial Intelligence (AI) for biomedical image analysis
depends on large annotated datasets. This study assessed the efficacy of Active Learning …