Latest AI and machine learning research in dental health for healthcare professionals.
OBJECTIVES: To develop and validate the Q-Bone system, an intelligent quantitative system for anatomically driven assessment of alveolar bone loss and assistance in the diagnosis of periodontitis across multiple clinical centers and imaging devices. METHODS: This study included 1,273 periodontitis cases from four clinical centers using diverse imaging devices. A multitask deep learning model, Deep...
Understanding how the soluble fission product EuF2 influences the structure and properties of the molten LiF-BeF2 (FLiBe) carrier salt is crucial for the safe operation and fuel cycle management of molten salt reactors. Here, a deep potential molecular dynamics (DPMD) approach that integrates first-principles calculations, machine learning, and molecular dynamics simulations is employed to systema...
OBJECTIVES: Orthodontic treatment planning requires careful consideration of facial aesthetics. This study aimed to compare machine learning (ML) mode...
BACKGROUND: This study aimed to develop an integrated artificial intelligence (AI) pipeline for cervical vertebral maturation (CVM) staging and skelet...
OBJECTIVE: We aimed to develop and evaluate machine learning models to support population-level risk stratification for dental caries in the permanent...
A thorough understanding of the microstructural evolution and thermophysical properties of Pu-containing molten salts is crucial for optimizing the pe...
INTRODUCTION AND AIMS: Maxillary transverse deficiency (MTD) is conventionally evaluated using cone-beam computed tomography (CBCT), which entails inc...
RATIONALE AND PURPOSE: Periodontitis is a chronic multifactorial inflammatory disease linked to systemic conditions including cardiovascular disease a...
BACKGROUND: Periodontitis and psoriasis are two prevalent conditions that are bidirectionally associated. However, the molecular basis remains poorly ...
BACKGROUND: Oral health among children in developing countries, including Vietnam, remains a significant public health concern. Innovative approaches ...
BACKGROUND: Transformer-based architectures have rapidly gained prominence in medical imaging due to their ability to model long-range dependencies an...
Fluorine chemistry has garnered attention for extending operating voltage limits of electrolytes through robust interfacial passivation owing to fluor...
INTRODUCTION AND AIMS: Mitochondrial metabolic dysregulation is associated with periodontitis (PD); however, related biomarkers remain unclear. In thi...
BACKGROUND: Artificial intelligence has increasingly been applied to orthodontic diagnosis and treatment planning. Clinical decision-making in orthodo...
BACKGROUND: Periodontitis is a chronic inflammatory disease driven by host immune dysregulation. However, the specific genetic regulatory mechanisms u...
Water quality degradation in mining-dominated regions poses a significant challenge due to the combined effects of geogenic processes and anthropogeni...
OBJECTIVES: This study investigated role-based differences in the accuracy, readability, understandability, and internal consistency of chatbot respon...
Due to their significant resource-economic advantages, sodium-ion batteries are gradually becoming an important alternative to lithium-ion batteries i...
BACKGROUND: Accurate and accessible screening tools for periodontitis are essential for early detection and disease prevention. This study evaluated a...
Effective monitoring of raw meat freshness is essential for food safety and reducing waste. This study presents a rapid freshness detection system com...