ChatGPT for shaping the future of dentistry: the potential of multi-modal large language model

H Huang, O Zheng, D Wang, J Yin, Z Wang… - International Journal of …, 2023 - nature.com
The ChatGPT, a lite and conversational variant of Generative Pretrained Transformer 4 (GPT-
4) developed by OpenAI, is one of the milestone Large Language Models (LLMs) with …

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 …

Deep learning: a primer for dentists and dental researchers

H Mohammad-Rahimi, R Rokhshad, S Bencharit… - Journal of Dentistry, 2023 - Elsevier
Objectives Despite deep learning's wide adoption in dental artificial intelligence (AI)
research, researchers from other dental fields and, more so, dental professionals may find it …

Artificial neural networks in contemporary toxicology research

I Pantic, J Paunovic, J Cumic, S Valjarevic… - Chemico-Biological …, 2023 - Elsevier
Artificial neural networks (ANNs) have a huge potential in toxicology research. They may be
used to predict toxicity of various chemical compounds or classify the compounds based on …

Automated deep learning for classification of dental implant radiographs using a large multi-center dataset

W Park, JK Huh, JH Lee - Scientific reports, 2023 - nature.com
This study aimed to evaluate the accuracy of automated deep learning (DL) algorithm for
identifying and classifying various types of dental implant systems (DIS) using a large-scale …

The current role and future potential of digital diagnostic imaging in implant dentistry: A scoping review

JMCS Fuglsig, INR Reis, AWK Yeung… - Clinical Oral …, 2024 - Wiley Online Library
Objectives Diagnostic imaging is crucial for implant dentistry. This review provides an up‐to‐
date perspective on the application of digital diagnostic imaging in implant dentistry …

Artificial intelligence for detection of external cervical resorption using label-efficient self-supervised learning method

H Mohammad-Rahimi, O Dianat, R Abbasi… - Journal of …, 2024 - Elsevier
Introduction The aim of this study was to leverage label-efficient self-supervised learning
(SSL) to train a model that can detect ECR and differentiate it from caries. Methods …

Identification of dental implant systems using a large-scale multicenter data set

W Park, F Schwendicke, J Krois… - Journal of Dental …, 2023 - journals.sagepub.com
This study aimed to evaluate the efficacy of deep learning (DL) for the identification and
classification of various types of dental implant systems (DISs) using a large-scale …

Developments and performance of artificial intelligence models designed for application in endodontics: A systematic review

SB Khanagar, A Alfadley, K Alfouzan, M Awawdeh… - Diagnostics, 2023 - mdpi.com
Technological advancements in health sciences have led to enormous developments in
artificial intelligence (AI) models designed for application in health sectors. This article …

Current Progress and challenges of using artificial intelligence in clinical dentistry—A Narrative review

Z Surlari, DG Budală, CI Lupu, CG Stelea… - Journal of Clinical …, 2023 - mdpi.com
The concept of machines learning and acting like humans is what is meant by the phrase
“artificial intelligence”(AI). Several branches of dentistry are increasingly relying on artificial …