Tooth automatic segmentation from CBCT images: a systematic review

A Polizzi, V Quinzi, V Ronsivalle, P Venezia… - Clinical oral …, 2023 - Springer
Objectives To describe the current state of the art regarding technological advances in full-
automatic tooth segmentation approaches from 3D cone-beam computed tomography …

Artificial intelligence models for clinical usage in dentistry with a focus on dentomaxillofacial CBCT: a systematic review

S Mureșanu, O Almășan, M Hedeșiu, L Dioșan… - Oral Radiology, 2023 - Springer
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 …

Applications, functions, and accuracy of artificial intelligence in restorative dentistry: A literature review

F Tabatabaian, SR Vora… - Journal of Esthetic and …, 2023 - Wiley Online Library
Objective The applications of artificial intelligence (AI) are increasing in restorative dentistry;
however, the AI performance is unclear for dental professionals. The purpose of this …

Improved deep convolutional neural network to classify osteoarthritis from anterior cruciate ligament tear using magnetic resonance imaging

MJ Awan, MSM Rahim, N Salim, A Rehman… - Journal of Personalized …, 2021 - mdpi.com
Anterior cruciate ligament (ACL) tear is caused by partially or completely torn ACL ligament
in the knee, especially in sportsmen. There is a need to classify the ACL tear before it fully …

[PDF][PDF] Artificial intelligence system for automatic maxillary sinus segmentation on cone beam computed tomography images

IS Bayrakdar, NS Elfayome, RA Hussien… - Dentomaxillofacial …, 2024 - academic.oup.com
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 …

[HTML][HTML] Advantages of a training course for surgical planning in virtual reality for oral and maxillofacial surgery: Crossover study

M Ulbrich, V Van den Bosch, A Bönsch… - JMIR serious …, 2023 - games.jmir.org
Background As an integral part of computer-assisted surgery, virtual surgical planning (VSP)
leads to significantly better surgery results, such as for oral and maxillofacial reconstruction …

Evaluating tooth segmentation accuracy and time efficiency in CBCT images using artificial intelligence: a systematic review and Meta-analysis

B **ang, J Lu, J Yu - Journal of Dentistry, 2024 - Elsevier
Objectives: This systematic review and meta-analysis aimed to assess the current
performance of artificial intelligence (AI)-based methods for tooth segmentation in three …

Videomics of the upper aero-digestive tract cancer: deep learning applied to white light and narrow band imaging for automatic segmentation of endoscopic images

MA Azam, C Sampieri, A Ioppi, P Benzi… - Frontiers in …, 2022 - frontiersin.org
Introduction Narrow Band Imaging (NBI) is an endoscopic visualization technique useful for
upper aero-digestive tract (UADT) cancer detection and margins evaluation. However, NBI …

Accuracy and precision of mandible segmentation and its clinical implications: virtual reality, desktop screen and artificial intelligence

LJ Gruber, J Egger, A Bönsch, J Kraeima… - Expert Systems with …, 2024 - Elsevier
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 …

[HTML][HTML] Prediction of California bearing ratio and modified proctor parameters using deep neural networks and multiple linear regression: a case study of granular …

R Polo-Mendoza, J Duque, D Mašín - Case Studies in Construction …, 2024 - Elsevier
Abstract The California Bearing Ratio (CBR) and modified proctor parameters belong to the
soil geotechnical properties used to assess soil behavior. Direct measurement of these …