Latest AI and machine learning research in dental health for healthcare professionals.
BACKGROUND: Patients seeking restorative and orthodontic treatment expect an improvement in their sm...
Diagnosing and treating apical periodontitis (AP) in an attempt to preserve the natural dentition, a...
Abnormal activity in daily life is a relatively common symptom of chronic diseases, such as dementia...
BACKGROUND AND OBJECTIVES: Analyzing three-dimensional cone beam computed tomography (CBCT) images h...
The Cervical Vertebral Maturation (CVM) method aims to determine the craniofacial skeletal maturatio...
AIM: The aim of this study was to compare the validity of different machine learning algorithms to d...
OBJECTIVE: Successful application of deep machine learning could reduce time-consuming and labor-int...
Deep learning (DL) has been employed for a wide range of tasks in dentistry. We aimed to systematica...
Panoramic radiographs are an integral part of effective dental treatment planning, supporting dentis...
The aim of this study is to investigate the relationship of 18 radiomorphometric parameters of panor...
With the increase of the adult orthodontic population, there is a need for an accurate and evidence-...
Artificial intelligence (AI) is a branch of science concerned with developing programs and computers...
This study evaluates the accuracy and efficiency of automatic tooth segmentation in digital dental m...
OBJECTIVE: This study aimed to evaluate the accuracy of deep learning-based integrated tooth models ...
BACKGROUND: Radiographic periodontal bone loss is one of the most important basis for periodontitis ...
Precise segmentation of teeth from intra-oral scanner images is an essential task in computer-aided ...
One of the main requirements for orthodontic treatment is continuous image acquisition. However, the...
, the cause of periodontitis, is also linked to many systemic disorders due to its citrullination ca...
OBJECTIVES: This study aimed to develop models that can automatically detect anterior disc displacem...
BACKGROUND: This study used machine learning and population data for testing the associations of pre...
Procedures and models of computerized data analysis are becoming researchers' and practitioners' thi...