4.2 Review

Applications of artificial intelligence in dentistry: A comprehensive review

Related references

Note: Only part of the references are listed.
Article Dentistry, Oral Surgery & Medicine

Machine learning in prediction of genetic risk of nonsyndromic oral clefts in the Brazilian population

Renato Assis Machado et al.

Summary: Utilizing machine learning network, 13 key SNPs were identified to effectively predict the risk of NSCL +/- P in the Brazilian population. These SNPs showed high importance in both neural network and random forest methods, with associated genes involved in crucial biological processes such as tissue development, neural tube closure, and metabolism.

CLINICAL ORAL INVESTIGATIONS (2021)

Review Dentistry, Oral Surgery & Medicine

Scope and performance of artificial intelligence technology in orthodontic diagnosis, treatment planning, and clinical decision-making - A systematic review

Sanjeev B. Khanagar et al.

Summary: Artificial intelligence technology has been widely applied in dentistry, particularly in orthodontics, and has shown promising results. These automated systems can simplify tasks, improve efficiency, and provide valuable assistance to dentists in orthodontic diagnosis and treatment planning.

JOURNAL OF DENTAL SCIENCES (2021)

Review Dentistry, Oral Surgery & Medicine

Developments, application, and performance of artificial intelligence in dentistry - A systematic review

Sanjeev B. Khanagar et al.

Summary: Artificial intelligence (AI) has made significant advancements in dentistry, with various applications widely employed for diagnosis and prediction tasks, showing excellent performance and accuracy.

JOURNAL OF DENTAL SCIENCES (2021)

Article Dentistry, Oral Surgery & Medicine

Clinical decision support model for tooth extraction therapy derived from electronic dental records

Qiwen Cui et al.

Summary: This retrospective records study constructed a clinical decision support (CDS) model to predict tooth extraction therapy using electronic dental records. The triple classification model outperformed the binary model, with the XGBoost algorithm achieving the highest accuracy. The CDS model achieved high performance in decision-making derived from EDRs.

JOURNAL OF PROSTHETIC DENTISTRY (2021)

Article Dentistry, Oral Surgery & Medicine

Artificial intelligence-driven novel tool for tooth detection and segmentation on panoramic radiographs

Andre Ferreira Leite et al.

Summary: The study evaluated the performance of a new AI-driven tool for tooth detection and segmentation on panoramic radiographs, demonstrating highly accurate and fast results compared to manual segmentation. The AI tool showed a sensitivity of 98.9% and a precision of 99.6% for tooth detection, with lower canines presenting the best segmentation results. The method also significantly reduced the time consumed for manual segmentation by 67%.

CLINICAL ORAL INVESTIGATIONS (2021)

Article Dentistry, Oral Surgery & Medicine

Refined tooth and pulp segmentation using U-Net in CBCT image

Wei Duan et al.

Summary: This study proposed a two-phase deep learning solution for accurately extracting and segmenting single teeth and pulp cavities, achieving high accuracy in experimental results.

DENTOMAXILLOFACIAL RADIOLOGY (2021)

Article Dentistry, Oral Surgery & Medicine

Deep-learning for predicting C-shaped canals in mandibular second molars on panoramic radiographs

Su-Jin Jeon et al.

Summary: The study evaluated the use of a convolutional neural network system for predicting C-shaped canals in mandibular second molars on panoramic radiographs, showing a high accuracy and sensitivity of the CNN model in predicting C-shaped canals.

DENTOMAXILLOFACIAL RADIOLOGY (2021)

Article Dentistry, Oral Surgery & Medicine

Comparison of machine learning algorithms for the prediction of five-year survival in oral squamous cell carcinoma

Huda Alkhadar et al.

Summary: The study found that the best performing model in machine learning prediction of oral cancer outcomes was the Decision tree classifier, followed by the Logistic Regression model. The Naive Bayes model showed no predictive value. Future studies are advised to explore a variety of machine learning models, including Logistic regression, to help evaluate model performance.

JOURNAL OF ORAL PATHOLOGY & MEDICINE (2021)

Article Dentistry, Oral Surgery & Medicine

Application of artificial intelligence and machine learning for prediction of oral cancer risk

Anwar Alhazmi et al.

Summary: The study developed an artificial neural network model to predict the risk of developing oral cancer, showing high sensitivity and specificity. This research demonstrates the potential of artificial neural networks in aiding oral cancer screening and diagnosis.

JOURNAL OF ORAL PATHOLOGY & MEDICINE (2021)

Review Medicine, Legal

Application and performance of artificial intelligence technology in forensic odontology - A systematic review

Sanjeev B. Khanagar et al.

Summary: The application of AI technology in forensic odontology involves identifying bite marks, predicting mandibular morphology, gender determination, and age estimation. The results show that AI models display accuracy and precision equivalent to that of trained examiners, offering promising tools for identifying victims of mass disasters and aiding in medico-legal situations.

LEGAL MEDICINE (2021)

Article Automation & Control Systems

Anatomically Constrained Deep Learning for Automating Dental CBCT Segmentation and Lesion Detection

Zhiyang Zheng et al.

Summary: Unlike other branches of healthcare, the development of AI capabilities in dental care is relatively slow, particularly in the automation of CBCT segmentation and lesion detection. Challenges such as content-rich oral cavity, significant within-label variation, and obtaining high-quality labeled images hinder research progress in this area. Integration of oral-anatomical knowledge into deep learning algorithms can improve the accuracy of lesion detection and segmentation, even with limited training samples. This can benefit practitioners by reducing labeling efforts and enhancing the advantages of AI in dental care automation.

IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING (2021)

Article Dentistry, Oral Surgery & Medicine

Artificial intelligence in dental research: Checklist for authors, reviewers, readers

Falk Schwendicke et al.

Summary: The study highlights the rapid growth of artificial intelligence (AI) studies in dentistry, with many facing limitations in planning, conduct, and reporting. A checklist was developed with input from experts in the field and agreed upon by 27 group members, focusing on various aspects of AI research in dentistry including study goals, design, data handling, and more. The checklist aims to improve the robustness, reproducibility, and applicability of AI studies in dentistry.

JOURNAL OF DENTISTRY (2021)

Article Computer Science, Artificial Intelligence

TSegNet: An efficient and accurate tooth segmentation network on 3D dental model

Zhiming Cui et al.

Summary: The study proposes a novel end-to-end learning method, TSegNet, for efficient and robust tooth segmentation on 3D scanned point cloud data of dental models. The method first detects all teeth using a distance-aware tooth centroid voting scheme, and then segments each tooth using a confidence-aware cascade segmentation module, achieving accurate results even in challenging cases with missing, crowding, or misaligned teeth.

MEDICAL IMAGE ANALYSIS (2021)

Article Dentistry, Oral Surgery & Medicine

Applications of deep learning in dentistry

Stefano Corbella et al.

Summary: This article reviews 28 studies on the application of deep learning in dentistry, highlighting methodological limitations and the need for further research to improve the application of deep learning in dentistry.

ORAL SURGERY ORAL MEDICINE ORAL PATHOLOGY ORAL RADIOLOGY (2021)

Review Health Care Sciences & Services

The Modern and Digital Transformation of Oral Health Care: A Mini Review

Muhammad Syafiq Alauddin et al.

Summary: The continuous development of digital technologies in dentistry has greatly changed the healthcare field, especially in dentistry. These technologies not only improve the efficiency of oral health care and reduce costs, but also alleviate the workload of healthcare providers, and promote participatory personalized oral health care.

HEALTHCARE (2021)

Article Surgery

Fully Automatic Robot-Assisted Surgery for Mandibular Angle Split Osteotomy

Mengzhe Sun et al.

JOURNAL OF CRANIOFACIAL SURGERY (2020)

Review Dentistry, Oral Surgery & Medicine

The use and performance of artificial intelligence applications in dental and maxillofacial radiology: A systematic review

Kuofeng Hung et al.

DENTOMAXILLOFACIAL RADIOLOGY (2020)

Article Computer Science, Artificial Intelligence

Automatic computation of mandibular indices in dental panoramic radiographs for early osteoporosis detection

Ignacio Aliaga et al.

ARTIFICIAL INTELLIGENCE IN MEDICINE (2020)

Article Dentistry, Oral Surgery & Medicine

Evaluation of artificial intelligence for detecting periapical pathosis on cone-beam computed tomography scans

K. Orhan et al.

INTERNATIONAL ENDODONTIC JOURNAL (2020)

Article Surgery

Automatic 3D landmarking model using patch-based deep neural networks for CT image of oral and maxillofacial surgery

Qingchuan Ma et al.

INTERNATIONAL JOURNAL OF MEDICAL ROBOTICS AND COMPUTER ASSISTED SURGERY (2020)

Article Dentistry, Oral Surgery & Medicine

Deep learning for caries lesion detection in near-infrared light transillumination images: A pilot study

Falk Schwendicke et al.

JOURNAL OF DENTISTRY (2020)

Article Multidisciplinary Sciences

Pan-cancer analysis of whole genomes

Peter J. Campbell et al.

NATURE (2020)

Article Multidisciplinary Sciences

International evaluation of an AI system for breast cancer screening

Scott Mayer McKinney et al.

NATURE (2020)

Article Genetics & Heredity

Comprehensive analysis of chromothripsis in 2,658 human cancers using whole-genome sequencing

Isidro Cortes-Ciriano et al.

NATURE GENETICS (2020)

Review Biochemical Research Methods

Radiomics and Machine Learning in Oral Healthcare

Andre Ferreira Leite et al.

PROTEOMICS CLINICAL APPLICATIONS (2020)

Article Computer Science, Interdisciplinary Applications

Development of artificial neural network model for prediction of post-streptococcus mutans in dental caries

Syed Javed et al.

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2020)

Article Biology

Pose-aware instance segmentation framework from cone beam CT images for tooth segmentation

Minyoung Chung et al.

COMPUTERS IN BIOLOGY AND MEDICINE (2020)

Article Computer Science, Information Systems

A Smart Dental Health-IoT Platform Based on Intelligent Hardware, Deep Learning, and Mobile Terminal

Lizheng Liu et al.

IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2020)

Article Dentistry, Oral Surgery & Medicine

Artificial Intelligence in Dentistry: Chances and Challenges

F. Schwendicke et al.

JOURNAL OF DENTAL RESEARCH (2020)

Article Dentistry, Oral Surgery & Medicine

Alveolar Bone Segmentation in Intraoral Ultrasonographs with Machine Learning

K. C. T. Nguyen et al.

JOURNAL OF DENTAL RESEARCH (2020)

Review Medicine, Research & Experimental

The ways of using machine learning in dentistry

Monika Elzbieta Machoy et al.

ADVANCES IN CLINICAL AND EXPERIMENTAL MEDICINE (2020)

Article Multidisciplinary Sciences

Automatic mandibular canal detection using a deep convolutional neural network

Gloria Hyunjung Kwak et al.

SCIENTIFIC REPORTS (2020)

Article Dentistry, Oral Surgery & Medicine

Deep learning-based dental plaque detection on primary teeth: a comparison with clinical assessments

Wenzhe You et al.

BMC ORAL HEALTH (2020)

Letter Environmental Sciences

Recent Trends and Future Direction of Dental Research in the Digital Era

Tim Joda et al.

INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH (2020)

Article Environmental Sciences

Artificial Intelligence (AI)-Driven Molar Angulation Measurements to Predict Third Molar Eruption on Panoramic Radiographs

Myrthel Vranckx et al.

INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH (2020)

Article Medicine, General & Internal

Transfer Learning via Deep Neural Networks for Implant Fixture System Classification Using Periapical Radiographs

Jong-Eun Kim et al.

JOURNAL OF CLINICAL MEDICINE (2020)

Article Dentistry, Oral Surgery & Medicine

Dentronics: Towards robotics and artificial intelligence in dentistry

Jasmin Grischke et al.

DENTAL MATERIALS (2020)

Article Computer Science, Interdisciplinary Applications

Deep Multi-Scale Mesh Feature Learning for Automated Labeling of Raw Dental Surfaces From 3D Intraoral Scanners

Chunfeng Lian et al.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2020)

Article Chemistry, Multidisciplinary

Automatic Tooth Detection and Numbering Using a Combination of a CNN and Heuristic Algorithm

Changgyun Kim et al.

APPLIED SCIENCES-BASEL (2020)

Article Medicine, General & Internal

Deep Learning for Automated Detection of Cyst and Tumors of the Jaw in Panoramic Radiographs

Hyunwoo Yang et al.

JOURNAL OF CLINICAL MEDICINE (2020)

Article Biochemistry & Molecular Biology

Deep Neural Networks for Dental Implant System Classification

Shintaro Sukegawa et al.

BIOMOLECULES (2020)

Article Medicine, General & Internal

Development of a Deep Learning Algorithm for Periapical Disease Detection in Dental Radiographs

Michael G. Endres et al.

DIAGNOSTICS (2020)

Review Environmental Sciences

Current Applications, Opportunities, and Limitations of AI for 3D Imaging in Dental Research and Practice

Kuofeng Hung et al.

INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH (2020)

Article Dentistry, Oral Surgery & Medicine

An artificial intelligence system using machine-learning for automatic detection and classification of dental restorations in panoramic radiography

Ragda Abdalla-Aslan et al.

ORAL SURGERY ORAL MEDICINE ORAL PATHOLOGY ORAL RADIOLOGY (2020)

Article Dentistry, Oral Surgery & Medicine

Detecting caries lesions of different radiographic extension on bitewings using deep learning

Anselmo Garcia Cantu et al.

JOURNAL OF DENTISTRY (2020)

Article Computer Science, Artificial Intelligence

TSASNet: Tooth segmentation on dental panoramic X-ray images by Two-Stage Attention Segmentation Network

Yue Zhao et al.

KNOWLEDGE-BASED SYSTEMS (2020)

Article Dentistry, Oral Surgery & Medicine

Automated cephalometric landmark detection with confidence regions using Bayesian convolutional neural networks

Jeong-Hoon Lee et al.

BMC ORAL HEALTH (2020)

Article Environmental Sciences

Exploring the Intersection between Social Determinants of Health and Unmet Dental Care Needs Using Deep Learning

Man Hung et al.

INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH (2020)

Article Computer Science, Information Systems

Towards Improving Skin Cancer Diagnosis by Integrating Microarray and RNA-Seq Datasets

Juan M. Galvez et al.

IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2020)

Article Dentistry, Oral Surgery & Medicine

Identification of dental implants using deep learning-pilot study

Toshihito Takahashi et al.

INTERNATIONAL JOURNAL OF IMPLANT DENTISTRY (2020)

Article Computer Science, Software Engineering

iOrthoPredictor: Model-guided Deep Prediction of Teeth Alignment

Lingchen Yang et al.

ACM TRANSACTIONS ON GRAPHICS (2020)

Article Environmental Sciences

A Deep Learning-Based Approach for the Detection of Early Signs of Gingivitis in Orthodontic Patients Using Faster Region-Based Convolutional Neural Networks

Dima M. Alalharith et al.

INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH (2020)

Article Chemistry, Multidisciplinary

Deep Learning-Based Pixel-Wise Lesion Segmentation on Oral Squamous Cell Carcinoma Images

Francesco Martino et al.

APPLIED SCIENCES-BASEL (2020)

Review Oncology

Artificial intelligence in dentistry: Harnessing big data to predict oral cancer survival

Man Hung et al.

WORLD JOURNAL OF CLINICAL ONCOLOGY (2020)

Review Medicine, General & Internal

Dental Caries Diagnosis and Detection Using Neural Networks: A Systematic Review

Maria Prados-Privado et al.

JOURNAL OF CLINICAL MEDICINE (2020)

Article Multidisciplinary Sciences

Optimization technique combined with deep learning method for teeth recognition in dental panoramic radiographs

Fahad Parvez Mahdi et al.

SCIENTIFIC REPORTS (2020)

Review Computer Science, Information Systems

Application of Machine Learning to Stomatology: A Comprehensive Review

Mao-Lei Sun et al.

IEEE ACCESS (2020)

Article Radiology, Nuclear Medicine & Medical Imaging

Image denoising by transfer learning of generative adversarial network for dental CT

Mohamed A. A. Hegazy et al.

BIOMEDICAL PHYSICS & ENGINEERING EXPRESS (2020)

Article Biotechnology & Applied Microbiology

Machine Learning for the Diagnosis of Orthodontic Extractions: A Computational Analysis Using Ensemble Learning

Yasir Suhail et al.

BIOENGINEERING-BASEL (2020)

Article Computer Science, Information Systems

CephaNN: A Multi-Head Attention Network for Cephalometric Landmark Detection

Jiahong Qian et al.

IEEE ACCESS (2020)

Article Health Care Sciences & Services

Pan-cancer diagnostic consensus through searching archival histopathology images using artificial intelligence

Shivam Kalra et al.

NPJ DIGITAL MEDICINE (2020)

Article Computer Science, Information Systems

Automatic Segmentation of Individual Tooth in Dental CBCT Images From Tooth Surface Map by a Multi-Task FCN

Yanlin Chen et al.

IEEE ACCESS (2020)

Article Computer Science, Software Engineering

3D Tooth Segmentation and Labeling Using Deep Convolutional Neural Networks

Xiaojie Xu et al.

IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS (2019)

Article Dentistry, Oral Surgery & Medicine

Tooth detection and numbering in panoramic radiographs using convolutional neural networks

Dmitry Tuzoff et al.

DENTOMAXILLOFACIAL RADIOLOGY (2019)

Review Dentistry, Oral Surgery & Medicine

Acceptability and perceptibility thresholds in dentistry: A comprehensive review of clinical and research applications

Rade D. Paravina et al.

JOURNAL OF ESTHETIC AND RESTORATIVE DENTISTRY (2019)

Article Radiology, Nuclear Medicine & Medical Imaging

Artifact correction in low-dose dental CT imaging using Wasserstein generative adversarial networks

Zhanli Hu et al.

MEDICAL PHYSICS (2019)

Article Dentistry, Oral Surgery & Medicine

Preliminary study on the application of deep learning system to diagnosis of Sjogren's syndrome on CT images

Yoshitaka Kise et al.

DENTOMAXILLOFACIAL RADIOLOGY (2019)

Article Engineering, Electrical & Electronic

Teeth category classification via seven-layer deep convolutional neural network with max pooling and global average pooling

Zhi Li et al.

INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY (2019)

Article Otorhinolaryngology

Development and Assessment of a Machine Learning Model to Help Predict Survival Among Patients With Oral Squamous Cell Carcinoma

Omar A. Karadaghy et al.

JAMA OTOLARYNGOLOGY-HEAD & NECK SURGERY (2019)

Article Biochemical Research Methods

Deep learning with multimodal representation for pancancer prognosis prediction

Anika Cheerla et al.

BIOINFORMATICS (2019)

Article Dentistry, Oral Surgery & Medicine

Application of machine learning for diagnostic prediction of root caries

Man Hung et al.

GERODONTOLOGY (2019)

Article Dentistry, Oral Surgery & Medicine

Deep Learning for the Radiographic Detection of Apical Lesions

Thomas Ekert et al.

JOURNAL OF ENDODONTICS (2019)

Article Multidisciplinary Sciences

Deep Learning for the Radiographic Detection of Periodontal Bone Loss

Joachim Krois et al.

SCIENTIFIC REPORTS (2019)

Article Multidisciplinary Sciences

Automated detection of third molars and mandibular nerve by deep learning

Shankeeth Vinayahalingam et al.

SCIENTIFIC REPORTS (2019)

Article Dentistry, Oral Surgery & Medicine

Caries Detection with Near-Infrared Transillumination Using Deep Learning

F. Casalegno et al.

JOURNAL OF DENTAL RESEARCH (2019)

Article Radiology, Nuclear Medicine & Medical Imaging

Segmentation of dental cone-beam CT scans affected by metal artifacts using a mixed-scale dense convolutional neural network

Jordi Minnema et al.

MEDICAL PHYSICS (2019)

Article Multidisciplinary Sciences

Grandmaster level in StarCraft II using multi-agent reinforcement learning

Oriol Vinyals et al.

NATURE (2019)

Article Dentistry, Oral Surgery & Medicine

A deep-learning artificial intelligence system for assessment of root morphology of the mandibular first molar on panoramic radiography

Teruhiko Hiraiwa et al.

DENTOMAXILLOFACIAL RADIOLOGY (2019)

Article Engineering, Electrical & Electronic

A gingivitis identification method based on contrast-limited adaptive histogram equalization, gray-level co-occurrence matrix, and extreme learning machine

Wen Li et al.

INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY (2019)

Article Oncology

Computer-assisted medical image classification for early diagnosis of oral cancer employing deep learning algorithm

Pandia Rajan Jeyaraj et al.

JOURNAL OF CANCER RESEARCH AND CLINICAL ONCOLOGY (2019)

Article Computer Science, Artificial Intelligence

Toward a Fuzzy Logic System Based on General Forms of Interval Type-2 Fuzzy Sets

Gonzalo Ruiz-Garcia et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2019)

Review Dentistry, Oral Surgery & Medicine

Convolutional neural networks for dental image diagnostics: A scoping review

Falk Schwendicke et al.

JOURNAL OF DENTISTRY (2019)

Article Multidisciplinary Sciences

Degradation enhancement of rice straw by co-culture of Phanerochaete chrysosporium and Trichoderma viride

Kai-Jian Chen et al.

SCIENTIFIC REPORTS (2019)

Article Multidisciplinary Sciences

Development of a recommender system for dental care using machine learning

Man Hung et al.

SN APPLIED SCIENCES (2019)

Article Engineering, Biomedical

U-net based metal segmentation on projection domain for metal artifact reduction in dental CT

Mohamed A. A. Hegazy et al.

BIOMEDICAL ENGINEERING LETTERS (2019)

Article Computer Science, Information Systems

An Early Diagnosis of Oral Cancer based on Three-Dimensional Convolutional Neural Networks

Shipu Xu et al.

IEEE ACCESS (2019)

Article Computer Science, Information Systems

Locating Anatomical Landmarks on 2D Lateral Cephalograms Through Adversarial Encoder-Decoder Networks

Xiubin Dai et al.

IEEE ACCESS (2019)

Article Radiology, Nuclear Medicine & Medical Imaging

Deep Learning-Based Super-Resolution Applied to Dental Computed Tomography

Janka Hatvani et al.

IEEE TRANSACTIONS ON RADIATION AND PLASMA MEDICAL SCIENCES (2019)

Article Dentistry, Oral Surgery & Medicine

Evaluation of a Novel Computer Color Matching System Based on the Improved Back-Propagation Neural Network Model

Jiaqiang Wei et al.

JOURNAL OF PROSTHODONTICS-IMPLANT ESTHETIC AND RECONSTRUCTIVE DENTISTRY (2018)

Article Dentistry, Oral Surgery & Medicine

Support vector machine-based differentiation between aggressive and chronic periodontitis using microbial profiles

Magda Feres et al.

INTERNATIONAL DENTAL JOURNAL (2018)

Article Engineering, Biomedical

Dental diagnosis from X-Ray images: An expert system based on fuzzy computing

Le Hoang Son et al.

BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2018)

Article Engineering, Biomedical

An effective teeth recognition method using label tree with cascade network structure

Kailai Zhang et al.

COMPUTERIZED MEDICAL IMAGING AND GRAPHICS (2018)

Article Dentistry, Oral Surgery & Medicine

Color Compatibility of Gingival Shade Guides and Gingiva-Colored Dental Materials with Healthy Human Gingiva

Nima D. Sarmast et al.

INTERNATIONAL JOURNAL OF PERIODONTICS & RESTORATIVE DENTISTRY (2018)

Article Dentistry, Oral Surgery & Medicine

Gingival shade guides: Colorimetric and spectral modeling

Razvan Ghinea et al.

JOURNAL OF ESTHETIC AND RESTORATIVE DENTISTRY (2018)

Article Dentistry, Oral Surgery & Medicine

Diagnosis and prediction of periodontally compromised teeth using a deep learning-based convolutional neural network algorithm

Jae-Hong Lee et al.

JOURNAL OF PERIODONTAL AND IMPLANT SCIENCE (2018)

Article Chemistry, Multidisciplinary

Predicting the Failure of Dental Implants Using Supervised Learning Techniques

Chia-Hui Liu et al.

APPLIED SCIENCES-BASEL (2018)

Article Dentistry, Oral Surgery & Medicine

Detection and diagnosis of dental caries using a deep learning-based convolutional neural network algorithm

Jae-Hong Lee et al.

JOURNAL OF DENTISTRY (2018)

Article Dentistry, Oral Surgery & Medicine

Predicting oral malodour based on the microbiota in saliva samples using a deep learning approach

Yoshio Nakano et al.

BMC ORAL HEALTH (2018)

Article Telecommunications

ComNet: Combination of Deep Learning and Expert Knowledge in OFDM Receivers

Xuanxuan Gao et al.

IEEE COMMUNICATIONS LETTERS (2018)

Article Biotechnology & Applied Microbiology

Composition Analysis and Feature Selection of the Oral Microbiota Associated with Periodontal Disease

Wen-Pei Chen et al.

BIOMED RESEARCH INTERNATIONAL (2018)

Article Medical Informatics

Bayesian-Based Decision Support System for Assessing the Needs for Orthodontic Treatment

Bhornsawan Thanathornwong

HEALTHCARE INFORMATICS RESEARCH (2018)

Article Medical Informatics

Application of Convolutional Neural Network in the Diagnosis of Jaw Tumors

Wiwiek Poedjiastoeti et al.

HEALTHCARE INFORMATICS RESEARCH (2018)

Article Dentistry, Oral Surgery & Medicine

Prediction of individual implant bone levels and the existence of implant phenotypes

Georgios Papantonopoulos et al.

CLINICAL ORAL IMPLANTS RESEARCH (2017)

Article Physics, Multidisciplinary

A Framework for Designing the Architectures of Deep Convolutional Neural Networks

Saleh Albelwi et al.

ENTROPY (2017)

Article Computer Science, Artificial Intelligence

Fuzzy Color Spaces: A Conceptual Approach to Color Vision

Jesus Chamorro-Martinez et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2017)

Article Multidisciplinary Sciences

Mastering the game of Go without human knowledge

David Silver et al.

NATURE (2017)

Article Engineering, Biomedical

A segmentation and classification scheme for single tooth in MicroCT images based on 3D level set and k-means plus

Liansheng Wang et al.

COMPUTERIZED MEDICAL IMAGING AND GRAPHICS (2017)

Article Biology

Classification of teeth in cone-beam CT using deep convolutional neural network

Yuma Miki et al.

COMPUTERS IN BIOLOGY AND MEDICINE (2017)

Proceedings Paper Computer Science, Artificial Intelligence

Mask R-CNN

Kaiming He et al.

2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2017)

Editorial Material Dentistry, Oral Surgery & Medicine

New approach for the diagnosis of extractions with neural network machine learning

Seok-Ki Jung et al.

AMERICAN JOURNAL OF ORTHODONTICS AND DENTOFACIAL ORTHOPEDICS (2016)

Article Computer Science, Artificial Intelligence

A novel semi-supervised fuzzy clustering method based on interactive fuzzy satisficing for dental x-ray image segmentation

Tran Manh Tuan et al.

APPLIED INTELLIGENCE (2016)

Article Computer Science, Artificial Intelligence

A Survey of Fuzzy Systems Software: Taxonomy, Current Research Trends, and Prospects

Jesus Alcala-Fdez et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2016)

Article Dentistry, Oral Surgery & Medicine

Digital Smile Design for Computer-assisted Esthetic Rehabilitation: Two-year Follow-up

C. T. W. Meereis et al.

OPERATIVE DENTISTRY (2016)

Article Dentistry, Oral Surgery & Medicine

Colour parameters and shade correspondence of CAD-CAM ceramic systems

Alvaro Della Bona et al.

JOURNAL OF DENTISTRY (2015)

Article Dentistry, Oral Surgery & Medicine

Color Difference Thresholds in Dentistry

Rade D. Paravina et al.

JOURNAL OF ESTHETIC AND RESTORATIVE DENTISTRY (2015)

Article Computer Science, Artificial Intelligence

Transfer learning using computational intelligence: A survey

Jie Lu et al.

KNOWLEDGE-BASED SYSTEMS (2015)

Review Multidisciplinary Sciences

Deep learning

Yann LeCun et al.

NATURE (2015)

Review Computer Science, Artificial Intelligence

Deep learning in neural networks: An overview

Juergen Schmidhuber

NEURAL NETWORKS (2015)

Article Medicine, General & Internal

Diagnosis of periodontal diseases using different classification algorithms: A preliminary study

F. O. Ozden et al.

NIGERIAN JOURNAL OF CLINICAL PRACTICE (2015)

Article Multidisciplinary Sciences

Color Range and Color Distribution of Healthy Human Gingiva: a Prospective Clinical Study

Daniel K. Ho et al.

SCIENTIFIC REPORTS (2015)

Article Multidisciplinary Sciences

Patient-Specific Variations in Biomarkers across Gingivitis and Periodontitis

Radhakrishnan Nagarajan et al.

PLOS ONE (2015)

Article Computer Science, Information Systems

New Online Self-Evolving Neuro Fuzzy controller based on the TaSe-NF model

A. B. Cara et al.

INFORMATION SCIENCES (2013)

Article Health Care Sciences & Services

Application of Bayesian Classifier for the Diagnosis of Dental Pain

Subhagata Chattopadhyay et al.

JOURNAL OF MEDICAL SYSTEMS (2012)

Article Health Care Sciences & Services

Diagnosis of Dental Deformities in Cephalometry Images Using Support Vector Machine

Arumugam Banumathi et al.

JOURNAL OF MEDICAL SYSTEMS (2011)

Article Dentistry, Oral Surgery & Medicine

Color difference thresholds in dental ceramics

Razvan Ghinea et al.

JOURNAL OF DENTISTRY (2010)

Article Computer Science, Artificial Intelligence

An effective classification and numbering system for dental bitewing radiographs using teeth region and contour information

P. L. Lin et al.

PATTERN RECOGNITION (2010)

Review Dentistry, Oral Surgery & Medicine

Color differences: Polymerized composite and corresponding Vitapan Classical shade tab

William D. Browning et al.

JOURNAL OF DENTISTRY (2009)

Article Dentistry, Oral Surgery & Medicine

Risk factors of oral candidosis: A twofold approach of study by fuzzy logic and traditional statistic

G. Campisi et al.

ARCHIVES OF ORAL BIOLOGY (2008)

Article Optics

Parametric fuzzy sets for automatic color naming

Robert Benavente et al.

JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION (2008)

Article Dentistry, Oral Surgery & Medicine

Development of a Model Shade Guide for Primary Teeth

R. D. Paravina et al.

EUROPEAN ARCHIVES OF PAEDIATRIC DENTISTRY (2008)

Review Materials Science, Multidisciplinary

Nature's hierarchical materials

Peter Fratzl et al.

PROGRESS IN MATERIALS SCIENCE (2007)

Article Engineering, Electrical & Electronic

A discrete model for color naming

G. Menegaz et al.

EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING (2007)

Article Biotechnology & Applied Microbiology

What is a support vector machine?

William S. Noble

NATURE BIOTECHNOLOGY (2006)

Review Multidisciplinary Sciences

Biomimetics: its practice and theory

Julian F. V. Vincent et al.

JOURNAL OF THE ROYAL SOCIETY INTERFACE (2006)

Article Computer Science, Theory & Methods

TaSe, a Taylor Series-based fuzzy system model that combines interpretability and accuracy

LJ Herrera et al.

FUZZY SETS AND SYSTEMS (2005)

Article Dentistry, Oral Surgery & Medicine

Fuzzy modelling for selecting headgear types

MO Akçam et al.

EUROPEAN JOURNAL OF ORTHODONTICS (2002)

Article Computer Science, Artificial Intelligence

Random forests

L Breiman

MACHINE LEARNING (2001)

Article Statistics & Probability

Greedy function approximation: A gradient boosting machine

JH Friedman

ANNALS OF STATISTICS (2001)