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 digital transformation in healthcare, propelled by the integration of deep learning
models and the Internet of Things (IoT), is creating unprecedented opportunities for …

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 …

Super-resolving medical images can help physicians in providing more accurate
diagnostics. In many situations, computed tomography (CT) or magnetic resonance imaging …

Background and objective With the high-resolution (HR) requirements of medical images in
clinical practice, super-resolution (SR) reconstruction algorithms based on low-resolution …

Personalized medicine refers to the tailoring of diagnostics and therapeutics to individuals
based on one's biological, social, and behavioral characteristics. While personalized dental …

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 storage of information, data, and forms of knowledge has led to the
development of new technologies that can help to accomplish complex tasks in different …

Purpose Artificial intelligence (AI), represented by deep learning, can be used for real-life
problems and is applied across all sectors of society including medical and dental field. The …

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 …