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 develo** and
emerging in the field of dental and maxillofacial radiology. Dental radiography, which is …

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 …

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

This study aimed at performing a systematic review of the literature on the application of
artificial intelligence (AI) in dental and maxillofacial cone beam computed tomography …

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 and objectives In this article, we propose a decision support system for effective
classification of dental periapical cyst and keratocystic odontogenic tumor (KCOT) lesions …

Objectives Novel artificial intelligence (AI) learning algorithms in dento-maxillofacial
radiology (DMFR) are continuously being developed and improved using advanced …

Objectives The study aims to develop an artificial intelligence (AI) model based on nnU-Net
v2 for automatic maxillary sinus (MS) segmentation in cone beam computed tomography …

Objective: To define which are and how the radiomics features of jawbone pathologies are
extracted for diagnosis, predicting prognosis and therapeutic response. Methods: A …