Dental Health

A Novel Fluoride Tray-Assisted Workflow for AI-driven Automated Maxillary Gingival Segmentation on CBCT.

OBJECTIVES: To clinically validate an AI-based tool for automated maxillary gingival segmentation of marginal and supracrestal gingiva on cone beam computed tomography (CBCT) scans using a novel soft tissue separation technique with a fluoride tray. METHODS: A validation set of 35 CBCT scans, covering maxilla, acquired with fluoride trays was processed using a cloud-based AI platform (Relu, Leuven...

Multilevel Determinants of Engagement in Lifelong Learning in Orthodontics From Formal to AI-Supported Approaches: Development of a Conceptual Framework Through a Qualitative Study.

BACKGROUND: Lifelong learning (LLL) is increasingly important for health care professionals, particularly within the field of orthodontics, driven by emerging technologies, updated treatment techniques, and rising patient expectations. To maintain competence in current practice, orthodontists are expected to engage in continuous professional development throughout their careers. While the value of...

Integrated machine learning-bayesian receptor modelling framework for uncertainty-aware source apportionment in a non-stationary fluoride-contaminated coastal aquifer.

Fluoride contamination in coastal aquifers is difficult to evaluate because its mobilisation is controlled by overlapping and seasonally dynamic non-s...

Automated classification of sagittal, vertical, and transverse malocclusions from 3D intraoral scans via a multi-head CNN framework.

This study aimed to develop and evaluate a multi-task deep learning model for the simultaneous classification of sagittal, vertical, and transverse ma...

Evaluating upper airway in orthodontics via 3D UX-Net model on CBCT scans.

INTRODUCTION AND AIMS: The relationship between orthodontic treatment and upper airway morphology is increasingly recognized. Artificial intelligence ...

A standardized and efficient intensity-based image registration framework for quantitative cranial base superimposition.

BACKGROUND: Structural cranial base superimposition is widely regarded as a biologically reliable reference for evaluating orthodontic treatment outco...

Multimodal Prediction of Periodontitis Using Root Exposure in Intraoral Images and Age.

INTRODUCTION AND AIMS: Despite advances in AI-based periodontitis screening, quantifiable and interpretable biomarkers from intraoral photographs rema...

Machine learning-driven discovery of therapeutic nucleoside hydrogels for periodontitis.

Supramolecular hydrogels hold significant potential in drug delivery and tissue engineering, with standing out for their unique properties. Despite th...

Mamba-Based Deep Learning Model for Automated Periapical Index Classification Using Periapical Radiographs and Clinical Metadata.

AIM: Apical periodontitis (AP) diagnosis primarily relies on periapical radiographs (PRs) and the Periapical Index (PAI) scoring system. However, exis...

Three Data-Driven Lip Soft-Tissue Phenotypes and Their Dento-Skeletal Associations in Orthodontic Patients: An Exploratory Unsupervised Learning Study.

BACKGROUND: Conventional facial diagnosis emphasizes skeletal and dental measures while lip features are assessed piecemeal. We aimed to identify data...

Artificial intelligence in periodontal disease research: a bibliometric and visualized analysis of global research trends (2007-2025).

Periodontal disease is one of the most common diseases in stomatology. With the continuous development of artificial intelligence (AI), its integratio...

Are chatbots reliable sources of information regarding fluoride in pediatric dentistry?

AIM: To evaluate the accuracy and consistency of responses generated by artificial intelligence (AI) chatbots in pediatric dentistry, specifically con...

Machine learning framework for irrigation water quality assessment in Kerala Rivers, India.

Accurate assessment of irrigation water quality is essential for sustainable agricultural management, particularly in regions facing increasing pressu...

Challenges and future directions in AI-driven biomaterials for microbiome-associated oral infectious diseases: A systematic review.

Oral biofilm-induced antimicrobial resistance is the core pathogenic mechanism of microbiome-associated oral infectious diseases (dental caries, perio...

Randomized controlled trial comparing AI-assisted digital and conventional orthodontics: Superior PAR reduction and occlusal outcomes.

BACKGROUND: Advances in digital orthodontics and artificial intelligence (AI) planning have the potential to enhance treatment precision, but randomiz...

Exploring the Potential of the PerioAI System to Support Periodontal Clinical Decision Making: A Proof-of-Principle Study.

AIM: To explore the potential of PerioAI, an artificial intelligence system integrating intraoral scanning and cone-beam CT, to automatically measure ...

Evaluating large language models for orthodontic consultation in patients with periodontitis: a study of reliability, quality, and readability.

BACKGROUND: This study aimed to evaluate and compare the performance of five publicly accessible large language models (LLMs)-based chatbots, ChatGPT-...

[Physiological age estimation model on pediatric panoramic radiographs based on machine learning and deep learning].

Objective: To automatically estimate children's physiological age from pediatric panoramic radiographs, employing a two-stage approach which involves ...

[Pit and fissure morphology and its implication for caries prevention and treatment].

Dental caries is a chronic and progressive destruction of dental hard tissue under the combined action of multiple factors, with the pits and fissures...

Generative Artificial Intelligence-driven orthodontic education practices.