Objectives To conduct a scoping review focusing on artificial intelligence (AI) applications in
presurgical dental implant planning. Additionally, to assess the automation degree of …

Objective 3D modeling is a major challenge in computer-assisted surgery (CAS). Manual
segmentation, as the gold standard, is tedious, time consuming, and particularly challenging …

Purpose The present paper provides a historical context for chaos theory, originating in the
1960s with Edward Norton Lorenz's efforts to predict weather patterns. It introduces chaos …

Purpose To evaluate the effects of exposure protocol, voxel sizes, and artifact removal
algorithms on the trueness of segmentation in various mandible regions using an artificial …

Objective To use deep learning to segment the mandible and identify three-dimensional
(3D) anatomical landmarks from cone-beam computed tomography (CBCT) images, the …

Objectives Segmentation of anatomical structures on dento-maxillo-facial (DMF) computed
tomography (CT) or cone beam computed tomography (CBCT) scans is increasingly needed …

Background Current segmentation approaches for radiation treatment planning in head and
neck cancer patients (HNCP) typically consider the entire mandible as an organ at risk …

Objectives Nowadays, a wide variety of software for 3D reconstruction from CT scans is
available; they differ for costs, capabilities, a priori knowledge, and, it is not trivial to identify …

Purpose Anticipating trends and pursuing innovative ideas are imperative for the
advancement of science. The objective of this study was to conduct a bibliometric analysis of …

Abstract X‐ray Computed Tomography (CT) images are widely used in various fields of
natural, physical, and biological sciences. 3D reconstruction of the images involves …