Objectives The aim of this review was to investigate the application of artificial intelligence
(AI) in maxillofacial computer-assisted surgical planning (CASP) workflows with the …

The use of cone-beam computed tomography (CBCT) has been increasing in dental
practice. This narrative review summarized the relevance and utilizations of CBCT to …

Objectives The present study investigated the accuracy, consistency, and time-efficiency of a
novel deep convolutional neural network (CNN) based model for the automated …

Objectives To train and validate a cloud-based convolutional neural network (CNN) model
for automated segmentation (AS) of dental implant and attached prosthetic crown on cone …

The process of creating virtual models of dentomaxillofacial structures through three-
dimensional segmentation is a crucial component of most digital dental workflows. This …

Objective To qualitatively and quantitatively assess integrated segmentation of three
convolutional neural network (CNN) models for the creation of a maxillary virtual patient …

Objectives: To develop and validate a novel artificial intelligence (AI) tool for automated
segmentation of mandibular incisive canal on cone beam computed tomography (CBCT) …

Objectives To assess the performance, time-efficiency, and consistency of a convolutional
neural network (CNN) based automated approach for integrated segmentation of …

The objective of this study was to automatically classify surgical plans for maxillary sinus
floor augmentation in implant placement at the maxillary posterior edentulous region using a …

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