Latest AI and machine learning research in dental health for healthcare professionals.
BACKGROUND: Accurate prediction of facial aesthetics after orthodontic treatment is crucial for clin...
Safe drinking water monitoring requires inexpensive, on-site tools that can sensitively quantify mul...
Fluoride contamination in groundwater is a serious public health concern, especially in semi-arid re...
Epidemiological cohorts often collect self-reported oral health (SROH) questionnaires but lack clini...
BACKGROUND: Artificial intelligence (AI) is transforming medical imaging, yet its economic impact in...
OBJECTIVE: This study proposed a cascaded framework based on deep neural networks that integrate cep...
This study aimed to characterize salivary microbiome compositions that can classify periodontal heal...
BACKGROUND: External root resorption (ERR) and external cervical resorption (ECR) are common orthodo...
BACKGROUND: Assessing radiographic bone condition is important for periodontal diagnosis. The accura...
OBJECTIVE: To systematically evaluate current Artificial Intelligence (AI) based approaches for the ...
OBJECTIVES: This study aimed to develop and preliminarily validate a multimodal deep learning model ...
Objective: To investigate the differences in the changes of periodontal ligament area (PDLA) and rel...
Periodontitis is driven by a self-reinforcing cycle of persistent inflammation and cellular senescen...
BACKGROUND: Digital orthodontic treatment has revolutionized clinical practice, yet predicting indiv...
BACKGROUND: The progression of periodontitis is challenging to predict. This study aimed to develop ...
Artificial intelligence (AI) is a rapidly growing sector of technology in a variety of industries, e...
BACKGROUND: Survival analysis is commonly used to identify factors affecting dental implant longevit...
OBJECTIVE: To develop and systematically evaluate a domain-specific retrieval-augmented question-ans...
Alzheimer's disease (AD) is a progressive neurodegenerative disorder increasingly associated with pe...
OBJECTIVES: This study aimed to develop and compare two YOLOv12-based deep learning models-object de...