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 …

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 …

In this paper, we propose a novel deep learning framework for anatomy segmentation and
automatic landmarking. Specifically, we focus on the challenging problem of mandible …

Cone-beam computed tomography (CBCT) scans are commonly used in diagnosing and
planning surgical or orthodontic treatment to correct craniomaxillofacial (CMF) deformities …

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

Aim The purpose of this study was to present and validate an innovative semi-automatic
approach to quantify the accuracy of the surgical outcome in relation to 3D virtual …

Artificial intelligence has been emerging as an increasingly important aspect of our daily
lives and is widely applied in medical science. One major application of artificial intelligence …

Purpose Cone-beam computed tomography (CBCT) is now an established component for
3D evaluation and treatment planning of patients with severe malocclusion and craniofacial …

Automatic craniomaxillofacial (CMF) landmark localization from cone-beam computed
tomography (CBCT) images is challenging, considering that 1) the number of landmarks in …