Dental Health

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-4o, DeepSeek-V3, Claude-Sonnet-4, Gemini-2.0 Flash, and Grok-3, in addressing inquiries from patients with periodontitis seeking orthodontic treatment. The primary objective was to assess the reliability, quality, and readability of the LLM-generated...

[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 permanent teeth staging assessment followed by physiological age conversion, as well as an end-to-end approach. Methods: From 3 367 radiographs of children aged 4 to 11 years, collected at Pediatric Dentistry, Peking University School and Hospital of...

[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.

Deep learning cone-beam computed tomography image segmentation for the 3D visualization of mandibular infraosseous periodontal defects.

BACKGROUND: The accurate assessment of infraosseous periodontal defects is crucial for effective diagnosis and treatment planning. Cone-beam computed ...

Gene bridge metabolite-disease association prediction based on GCN-DeepSeekMoE contrastive learning and its applications in oral diseases.

The variation of metabolite levels is strongly associated with the occurrence as well as development in diseases, especially oral diseases such as per...

Nanointerface-Engineered Triboelectric Nanocomposite for Self-Powered Intelligent Motion Decoding.

Real-time motion intelligence from wearable systems requires efficient conversion of biomechanical energy into stable and information-rich electrical ...

YOLOv10-based deep learning model for dental plaque object detection in intraoral photographs of orthodontic patients.

Development of Leading Enhancement Assistive Planning: A three-dimensional tooth classification system for orthodontic treatment with clear aligners.

OBJECTIVE: To develop and validate the Leading Enhancement Assistive Planning (LEAP) system, a deep learning-based tool for automated malocclusion cla...

Deep learning-based segmentation of enamel, cementum, alveolar bone, and gingiva in periodontal ultrasound images.

OBJECTIVES: To develop a deep learning-based multi-class segmentation model for the simultaneous segmentation of key periodontal structures, including...

Automated periodontitis diagnosis and staging using an end-to-end deep learning model on panoramic dental radiographs.

Comparative evaluation of ChatGPT and Gemini artificial intelligence in patient education on clear aligner therapy.

OBJECTIVES: To compare the performance of ChatGPT-4 Turbo and Gemini 1.5 Pro in the domain of Clear Aligner Therapy (CAT). MATERIALS AND METHODS: A to...

Artificial intelligence in healthcare, dentistry, and orthodontics; is it an opportunity or a threat? An epistemological review.

Helpless, the human race stands in front of Artificial Intelligence (AI) that has invaded us and evaded our defences, leaving the world stranded and s...

Unsupervised phenotyping of the periodontal architecture through high-dimensional clustering of electronic health records: A multicenter study.

BACKGROUND: To identify novel periodontal phenotypes using unsupervised machine learning on a large-scale, multicenter cohort, specifically characteri...

Artificial Intelligence Enabled Precise 3D Printing of Polyvinylidene Fluoride (PVDF) Microfibers for Ultrasensitive Sensors.

The pursuit of sustainable green energy has intensified the demand for self-powered materials, which are capable of efficiently converting ambient mec...

Relationships between periodontitis and inflammatory bowel disease: Screening and functional analysis of endoplasmic reticulum stress-related biomarkers.

This study aimed to explore the relationship between periodontitis (PD) and inflammatory bowel disease (IBD), focusing on changes in the expression of...

Proteomic Characterization of Grade II Furcation Defects: A Discovery-Phase Study.

This study analyzed the gingival crevicular fluid (GCF) proteome of 35 patients with Grade II furcation defects using the Olink Reveal platform. Compa...

Integrated machine learning and geochemical modeling reveal hydrogeochemical controls on fluoride and arsenic co-contamination in groundwater.

Groundwater contamination by fluoride (F⁻) and arsenic (As) is a serious environmental issue and poses significant human health risks in many developi...

Predicting Longitudinal Caries Trajectories from Childhood to Early Adulthood.

Prior studies have used traditional trajectory analyses to classify caries progression; however, none have applied machine learning (ML) to predict ca...

Data-Driven Tooth Selection Enhances Partial-Mouth Periodontal Screening.

The high prevalence of periodontitis has imposed a significant global disease burden. Epidemiologic surveys rely on full-mouth periodontal examination...