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 …

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 …

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 …

Objectives Automatic tooth segmentation and classification from cone beam computed
tomography (CBCT) have become an integral component of the digital dental workflows …

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 …

Artificial intelligence (AI) has emerged as a versatile health-technology tool revolutionizing
medical services through the implementation of predictive, preventative, individualized, and …

Objectives The objective of our study was to develop and validate a deep learning approach
based on convolutional neural networks (CNNs) for automatic detection of the mandibular …

Artificial Intelligence (AI) is a set of technologies that simulate human cognition in order to
address a specific problem. The improvement in computing speed, the exponential …

Background: Applications of artificial intelligence (AI) in medicine and dentistry have been
on the rise in recent years. In dental radiology, deep learning approaches have improved …

Background: Machine learning (ML) has emerged as a branch of artificial intelligence
dealing with the analysis of large amounts of data. The applications of ML algorithms have …