Dental Health

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-dimensional (3D) imaging technologies. Nevertheless, single-modal data exhibits inherent limitations, including insufficient spatial resolution, lack of tissue specificity, and discontinuous spatiotemporal information. These drawbacks make it challenging...

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 diagnosis of periodontitis and (2) on non-image-based AI applications across periodontal care. METHODS: This study adhered to PRISMA guidance. Six databases (PubMed, Scopus, Web of Science, Embase/Ovid, IEEE Xplore, and arXiv) were searched. The first...

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...

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...

Prediction of facial profiles following orthodontic treatment in adult Class III patients using deep neural networks with feature fusion.

OBJECTIVE: This study proposed a cascaded framework based on deep neural networks that integrate cephalogram and landmark data to predict soft tissue ...

Prediction model for periodontitis stage based on the salivary microbiome.

This study aimed to characterize salivary microbiome compositions that can classify periodontal health and various stages of periodontitis. We collect...

Artificial intelligence for detecting orthodontic root resorption: A systematic review and meta-analysis of diagnostic accuracy.

BACKGROUND: External root resorption (ERR) and external cervical resorption (ECR) are common orthodontic complications with prognostic impact. Early, ...

Usability of a deep learning platform for detecting radiographic bone loss and furcation involvement.

BACKGROUND: Assessing radiographic bone condition is important for periodontal diagnosis. The accuracy of radiographic interpretation depends highly o...

Artificial Intelligence assisted diagnosis of impacted teeth other than third molars: A systematic review.

OBJECTIVE: To systematically evaluate current Artificial Intelligence (AI) based approaches for the diagnosis of impacted teeth other than third molar...

Multimodal Deep Learning-Based Screening of Degenerative Temporomandibular Joint Disease Using 2D Radiography: A Cost-Effective and Low-Radiation Approach.

OBJECTIVES: This study aimed to develop and preliminarily validate a multimodal deep learning model based on two-dimensional maxillofacial imaging for...