Synergy between artificial intelligence and precision medicine for computer-assisted oral and maxillofacial surgical planning

S Shujaat, M Riaz, R Jacobs - Clinical Oral Investigations, 2023 - Springer
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 …

Artificial intelligence for sustainable oral healthcare

M Ducret, CM Mörch, T Karteva, J Fisher… - Journal of Dentistry, 2022 - Elsevier
Objectives Oral health is grounded in the United National (UN) 2030 Agenda for Sustainable
Developement and its 17 Goals (SDGs), in particular SDG 3 (Ensure healthy lives and …

Artificial intelligence and augmented reality for guided implant surgery planning: a proof of concept

FG Mangano, O Admakin, H Lerner, C Mangano - Journal of Dentistry, 2023 - Elsevier
Purpose To present a novel protocol for authentic three-dimensional (3D) planning of dental
implants, using artificial intelligence (AI) and augmented reality (AR). Methods The novel …

Deep convolutional neural network-based automated segmentation of the maxillofacial complex from cone-beam computed tomography: A validation study

F Preda, N Morgan, A Van Gerven, F Nogueira-Reis… - Journal of Dentistry, 2022 - Elsevier
Objectives The present study investigated the accuracy, consistency, and time-efficiency of a
novel deep convolutional neural network (CNN) based model for the automated …

[HTML][HTML] Automated segmentation of the mandibular canal and its anterior loop by deep learning

N Oliveira-Santos, R Jacobs, FF Picoli, P Lahoud… - Scientific reports, 2023 - nature.com
Accurate mandibular canal (MC) detection is crucial to avoid nerve injury during surgical
procedures. Moreover, the anatomic complexity of the interforaminal region requires a …

[HTML][HTML] Deep learning-based segmentation of dental implants on cone-beam computed tomography images: A validation study

BM Elgarba, S Van Aelst, A Swaity, N Morgan… - Journal of Dentistry, 2023 - Elsevier
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 …

Convolutional neural network‐based automated maxillary alveolar bone segmentation on cone‐beam computed tomography images

RC Fontenele, MN Gerhardt, FF Picoli… - Clinical Oral …, 2023 - Wiley Online Library
Objectives To develop and assess the performance of a novel artificial intelligence (AI)‐
driven convolutional neural network (CNN)‐based tool for automated three‐dimensional …

Deep segmentation of the mandibular canal: a new 3D annotated dataset of CBCT volumes

M Cipriano, S Allegretti, F Bolelli… - IEEE …, 2022 - ieeexplore.ieee.org
Inferior Alveolar Nerve (IAN) canal detection has been the focus of multiple recent works in
dentistry and maxillofacial imaging. Deep learning-based techniques have reached …

[HTML][HTML] Automated detection and labelling of teeth and small edentulous regions on cone-beam computed tomography using convolutional neural networks

M do Nascimento Gerhardt, RC Fontenele, AF Leite… - Journal of Dentistry, 2022 - Elsevier
Objective To assess the accuracy of a novel Artificial Intelligence (AI)-driven tool for
automated detection of teeth and small edentulous regions on Cone-Beam Computed …

[HTML][HTML] Deep learning driven segmentation of maxillary impacted canine on cone beam computed tomography images

A Swaity, BM Elgarba, N Morgan, S Ali, S Shujaat… - Scientific Reports, 2024 - nature.com
The process of creating virtual models of dentomaxillofacial structures through three-
dimensional segmentation is a crucial component of most digital dental workflows. This …