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 …
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 …
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
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 …
conventional deep learning models are constructed for a single specific task, multi-task deep …
Causal knowledge fusion for 3D cross-modality cardiac image segmentation
Abstract Three-dimensional (3D) cross-modality cardiac image segmentation is critical for
cardiac disease diagnosis and treatment. However, it confronts the challenge of modality …
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 …
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 …
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
Panoramic radiographs are an integral part of effective dental treatment planning,
supporting dentists in identifying impacted teeth, infections, malignancies, and other dental …
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
Accurately segmenting teeth and identifying the corresponding anatomical landmarks on
dental mesh models are essential in computer-aided orthodontic treatment. Manually …
dental mesh models are essential in computer-aided orthodontic treatment. Manually …
Analysis of deep learning techniques for dental informatics: a systematic literature review
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 …
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
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 …
for virtual dental treatment planning; however, they require integrating data from cone-beam …