Applications of artificial intelligence in dentistry: A comprehensive review

F Carrillo‐Perez, OE Pecho, JC Morales… - Journal of Esthetic …, 2022 - Wiley Online Library
Objective To perform a comprehensive review of the use of artificial intelligence (AI) and
machine learning (ML) in dentistry, providing the community with a broad insight on the …

Artificial intelligence in dentistry—A review

H Ding, J Wu, W Zhao, JP Matinlinna… - Frontiers in Dental …, 2023 - frontiersin.org
Artificial Intelligence (AI) is the ability of machines to perform tasks that normally require
human intelligence. AI is not a new term, the concept of AI can be dated back to 1950 …

Multi-task deep learning for medical image computing and analysis: A review

Y Zhao, X Wang, T Che, G Bao, S Li - Computers in Biology and Medicine, 2023 - Elsevier
The renaissance of deep learning has provided promising solutions to various tasks. While
conventional deep learning models are constructed for a single specific task, multi-task deep …

Causal knowledge fusion for 3D cross-modality cardiac image segmentation

S Guo, X Liu, H Zhang, Q Lin, L Xu, C Shi, Z Gao… - Information …, 2023 - Elsevier
Abstract Three-dimensional (3D) cross-modality cardiac image segmentation is critical for
cardiac disease diagnosis and treatment. However, it confronts the challenge of modality …

DBGANet: dual-branch geometric attention network for accurate 3D tooth segmentation

Z Lin, Z He, X Wang, B Zhang, C Liu… - … on Circuits and …, 2023 - ieeexplore.ieee.org
Accurate segmentation of 3D dental models derived from intra-oral scanners (IOS) is one of
the key steps in many digital dental applications such as orthodontics and implants …

Teeth U-Net: A segmentation model of dental panoramic X-ray images for context semantics and contrast enhancement

S Hou, T Zhou, Y Liu, P Dang, H Lu, H Shi - Computers in Biology and …, 2023 - Elsevier
Background and objective It is very significant in orthodontics and restorative dentistry that
the teeth are segmented from dental panoramic X-ray images. Nevertheless, there are some …

Collaborative deep learning model for tooth segmentation and identification using panoramic radiographs

G Chandrashekar, S AlQarni, EE Bumann… - Computers in Biology and …, 2022 - Elsevier
Panoramic radiographs are an integral part of effective dental treatment planning,
supporting dentists in identifying impacted teeth, infections, malignancies, and other dental …

Two-stage mesh deep learning for automated tooth segmentation and landmark localization on 3D intraoral scans

TH Wu, C Lian, S Lee, M Pastewait… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Accurately segmenting teeth and identifying the corresponding anatomical landmarks on
dental mesh models are essential in computer-aided orthodontic treatment. Manually …

Analysis of deep learning techniques for dental informatics: a systematic literature review

S AbuSalim, N Zakaria, MR Islam, G Kumar, N Mokhtar… - Healthcare, 2022 - mdpi.com
Within the ever-growing healthcare industry, dental informatics is a burgeoning field of study.
One of the major obstacles to the health care system's transformation is obtaining …

[HTML][HTML] Deep learning-enabled 3D multimodal fusion of cone-beam CT and intraoral mesh scans for clinically applicable tooth-bone reconstruction

J Liu, J Hao, H Lin, W Pan, J Yang, Y Feng, G Wang… - Patterns, 2023 - cell.com
Summary High-fidelity three-dimensional (3D) models of tooth-bone structures are valuable
for virtual dental treatment planning; however, they require integrating data from cone-beam …