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

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

In this study, we used panoramic X-ray images to classify and clarify the accuracy of different
dental implant brands via deep convolutional neural networks (CNNs) with transfer-learning …

Dental disease evaluation and clinical assessment are frequently accomplished through
radiographic penetration. The difficulty of obtaining an accurate clinical diagnosis from …

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 …

Objective The aim of this study was to investigate whether a deep learning object detection
technique can automatically detect and classify radiolucent lesions in the mandible on …

Objective This investigation aimed to verify and compare the performance of 3 deep learning
systems for classifying maxillary impacted supernumerary teeth (ISTs) in patients with fully …

ABSTRACT 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 …

Chronological age estimation is crucial labour in many clinical procedures, where the teeth
have proven to be one of the best estimators. Although some methods to estimate the age …

Age estimation is an important challenge in many fields, including immigrant identification,
legal requirements, and clinical treatments. Deep learning techniques have been applied for …