Latest AI and machine learning research in dental health for healthcare professionals.
In Saudi Arabia, water pollution and drinking water scarcity pose a major challenge and jeopardise t...
Monitoring activities of daily living (ADLs) plays an important role in measuring and responding to ...
BACKGROUND: Acute myocardial infarction (AMI) risk correlates with C-reactive protein (CRP) levels, ...
INTRODUCTION: The extraction decision significantly affects the treatment process and outcome. There...
OBJECTIVES: This study focuses on artificial intelligence (AI)-assisted analysis of alveolar bone fo...
OBJECTIVES: The transition from manual to automatic cephalometric landmark identification has not ye...
Machine learning models show promise in identifying geogenic contaminated groundwaters. Modeling in ...
INTRODUCTION: An ideal orthodontic treatment involves qualitative and quantitative measurements of d...
The influence of behavioral science on various organizations has been experiencing remarkable growth...
With increasing digitalization in orthodontics, certain orthodontic manufacturing processes such as ...
BACKGROUND: Deep learning model trained on a large image dataset, can be used to detect and discrimi...
AIM: Treatment of periodontitis, a chronic inflammatory disease driven by biofilm dysbiosis, remains...
INTRODUCTION: Periodontitis is the main cause of tooth loss and is related to many systemic diseases...
Portable and personalized artificial intelligence (AI)-driven sensors mimicking human olfactory and ...
Aqueous fluoride ( ) pollution is a global threat to potable water security. The present research e...
INTRODUCTION: This study aimed to evaluate and compare the performance of 2 artificial intelligence ...
The three-dimensional (3D) force sensor has become essential in industrial and medical applications....
OBJECTIVES: This study aimed to identify predictors associated with the tooth loss phenotype in a la...
Orthodontically induced external root resorption (OIERR) is a common complication of orthodontic tre...
OBJECTIVES: We aim to develop a deep learning model based on a convolutional neural network (CNN) co...
INTRODUCTION: This study aimed to clinically evaluate the accuracy of Dental Monitoring's (DM) artif...