Objectives: To investigate the current clinical applications and diagnostic performance of
artificial intelligence (AI) in dental and maxillofacial radiology (DMFR). Methods: Studies …

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 …

Osteoporosis and its clinical consequence, bone fracture, is a multifactorial disease that has
been the object of extensive research. Recent advances in machine learning (ML) have …

Dental panoramic radiographs (DPRs) provide information required to potentially evaluate
bone density changes through a textural and morphological feature analysis on a mandible …

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 evaluate the diagnostic performance of a deep convolutional neural network
(DCNN)-based computer-assisted diagnosis (CAD) system in the detection of osteoporosis …

Objectives: The aim of the present study was to compare five convolutional neural networks
for predicting osteoporosis based on mandibular cortical index (MCI) on panoramic …

This report aims to summarize the fundamental concepts of Artificial Intelligence (AI), and to
provide a non-exhaustive overview of AI applications in dental imaging, comprising …

Fractal dimension (FD) calculated on oral radiographs has been proposed as a useful tool to
screen for osteoporosis. This systematic review and meta-analysis firstly aimed at assessing …

Osteoporosis occurs due to micro-architectural deterioration of the bone tissues with an
increased risk of bone fragility, which can cause fractures in the bone without much pressure …