Dental Health

Lightweight liquid neural networks decipher salivary metabolic fingerprinting for high-risk periodontitis screening in diabetes.

Type 2 diabetes (T2DM) and periodontitis are bidirectionally linked diseases that both involve chronic inflammation; their co‑occurrence represents a high‑risk clinical condition requiring timely identification. In this proof‑of‑concept, dual‑center feasibility study (n = 426), we evaluate a rapid, non‑invasive approach for identifying individuals with co‑occurring periodontitis and T2DM by integr...

Dual biomarkers ALOX5AP and INPP4A are associated with lipid metabolism and neutrophil extracellular traps in periodontitis: A bioinformatics and clinical validation study.

OBJECTIVE(S): Periodontitis is a chronic inflammatory disease characterized by progressive alveolar bone destruction. While lipid metabolism and neutrophil extracellular traps (NETs) are implicated in periodontitis pathogenesis, their precise molecular mechanisms remain unclear and require further investigation. DESIGN: RNA sequencing datasets were acquired from public databases. Differential expr...

Development and Validation of a Machine Learning-Based Model to Predict Peri-Implant Mucositis in Patients With Dental Implant Placement After 1-Year.

OBJECTIVES: To develop and validate an interpretable machine learning (ML) model for early prediction of peri-implant mucositis (PIM). MATERIAL AND ME...

Evaluating the Artificial Intelligence Driven Monitoring System Notifications: Clear Aligner and Oral Hygiene Perspectives.

INTRODUCTION: The widespread use of smartphones presents a remarkable opportunity for real-time management of orthodontic treatment. The development o...

An Interpretable Fuzzy-AI Clinical Decision Support System for Selecting Orthognathic Surgery in Skeletal Class III Malocclusion.

This study aimed to develop an interpretable fuzzy-artificial intelligence (AI) framework to support treatment decision-making between orthognathic su...

Progress of Multimodal Imaging: Bridging Orthodontics to Comprehensive Oral Multidisciplinary Care.

INTRODUCTION AND AIMS: For decades, orthodontic diagnosis and treatment have primarily depended on physical models, imaging techniques, and three-dime...

Artificial Intelligence in Periodontology: A Systematic Review.

AIM: To provide a comprehensive review of artificial intelligence (AI) applications in periodontology, focusing (1) on deep learning for image-based d...

Mobile Imaging-Based Machine Learning for Dental Caries, Sealants, and Fluorosis: Protocol for a Cross-Sectional Model Development and Validation Study.

BACKGROUND: Assessing dental caries, sealants, and fluorosis is essential for public health surveillance, providing critical data to evaluate national...

Geochemical and machine learning approaches to groundwater fluoride prediction in Karaga District, Northern Ghana.

Multi-omics integration reveals ANXA6-high γδ T cell-endothelial communication as a potential link between periodontitis and MASLD.

Periodontitis (PD) and metabolic dysfunction-associated steatotic liver disease (MASLD) were highly prevalent inflammatory disorders that frequently c...

Mapping the subgingival HerBiome and HisBiome over the human healthspan.

BACKGROUND: Understanding the intricate relationship between sex, age, and the oral microbiome is crucial for deciphering the onset and progression of...

Perception of AI-generated smile versus real orthodontic treatment outcomes among dentists, students, and laypeople.

In orthodontics, the increasing use of AI-generated smile images in patient communication raises ethical and practical concerns about user perception ...

Repurposing Azilsartan medoxomil attenuates periodontitis by targeting SERPINB9 to promote apoptosis of IL1B+ macrophages.

Periodontitis (PD) is a common chronic inflammatory disease characterized by progressive destruction of periodontal tissues and is associated with sys...

Multifunctional Flexible Sensor with Bionic Micro-Nano Hierarchical Structure for Dual-Mode Pressure and Temperature Sensing.

Flexible electronic devices have garnered significant attention for their promising applications in healthcare and electronic skin, particularly versa...

Predicting skeletal fluorosis severity using machine learning across diverse fluoride-exposed populations in China.

Skeletal fluorosis (SF) is a chronic metabolic bone disease resulting from long-term excessive fluoride exposure, affecting millions worldwide. Conven...

Predicting 3D Post-Orthodontic Facial Outcomes With a Diffusion Model Trained on Unpaired Datasets.

BACKGROUND: Accurate prediction of facial aesthetics after orthodontic treatment is crucial for clinical planning, yet traditional methodologies often...

"Development of a low-cost portable sequential detection sensor for quantification of fluoride and cyanide in water".

Safe drinking water monitoring requires inexpensive, on-site tools that can sensitively quantify multiple inorganic anions in complex matrices. We rep...

Hydrogeochemical assessment and groundwater fluoride prediction in Bathinda district using deep learning.

Fluoride contamination in groundwater is a serious public health concern, especially in semi-arid regions like Bathinda in Punjab, where people rely h...

A selective machine learning algorithm for severe periodontitis labeling from questionnaire data.

Epidemiological cohorts often collect self-reported oral health (SROH) questionnaires but lack clinical periodontal measurements. We developed a selec...

Cost-Effectiveness of AI-Assisted Detection of Apical Periodontitis on Panoramic Radiographs.

BACKGROUND: Artificial intelligence (AI) is transforming medical imaging, yet its economic impact in dentistry remains largely unexplored. AIM: This s...