Dental Health

Integrated machine learning based groundwater quality prediction through groundwater quality index for drinking purposes in a semi-arid river basin of south India.

The main objective of this study is to predict and monitor groundwater quality through the use of modern Machine Learning (ML) techniques. By employing ML techniques, the research effectively evaluates groundwater quality to forecast its future trends. Five machine learning models Logistic Regression (LR), Support Vector Machine (SVM), Random Forest (RF), Adaptive Boosting (AdaBoost), Extreme Grad...

Artificial intelligence-assisted identification and assessment of mandibular asymmetry on panoramic radiography.

INTRODUCTION: Mandibular symmetry is crucial in orthodontic diagnosis and treatment planning. This study aimed to establish an artificial intelligence (AI) method to automatically and accurately identify mandibular landmarks and assess asymmetry via orthopantomography (OPG) radiographs.

Diagnostic accuracy of artificial intelligence for dental and occlusal parameters using standardized clinical photographs.

INTRODUCTION: SmileMate (SmileMate, Dental Monitoring SAS, Paris, France) is an artificial intelligence (AI)-based Web site that uses intraoral photog...

Data-driven AI platform for dens evaginatus detection on orthodontic intraoral photographs.

BACKGROUND: The aim of our study was to develop and evaluate a deep learning model (BiStageNet) for automatic detection of dens evaginatus (DE) premol...

GLASSR-Net: Glass Substrate Spectral Restoration Neural Network for Fourier Transform Infrared Microspectroscopy in the Fingerprint Region.

Fourier transform infrared (FTIR) microspectroscopy has emerged as a pivotal pathological tool, offering informative spectral biomarkers for numerous ...

Performance assessment of artificial intelligence chatbots (ChatGPT-4 and Copilot) for sharing insights on 3D-printed orthodontic appliances: A cross-sectional study.

OBJECTIVE: To evaluate and compare the performance of OpenAI's ChatGPT-4 and Microsoft Copilot in providing information on 3D-printed orthodontic appl...

Development of a machine learning model related to explore the association between heavy metal exposure and alveolar bone loss among US adults utilizing SHAP: a study based on NHANES 2015-2018.

BACKGROUND: Alveolar bone loss (ABL) is common in modern society. Heavy metal exposure is usually considered to be a risk factor for ABL. Some studies...

Automated orthodontic diagnosis via self-supervised learning and multi-attribute classification using lateral cephalograms.

BACKGROUND: Malocclusion, characterized by dental misalignment and improper occlusal relationships, significantly impacts oral health and daily functi...

Evaluation of the potential value of artificial intelligence (AI) in public health using fluoride intake as the example.

AIM: We aimed to test whether and how ChatGPT understood the epidemiological problems related to fluoride intake and whether ChatGPT could produce nov...

Integrating machine learning for treatment decisions in anterior open bite orthodontic cases: A retrospective study.

INTRODUCTION: This article explores the integration of machine learning (ML) algorithms to aid in treatment planning and extraction decisions for ante...

Robot-Assisted Endodontic Retreatment: A Case Report with Clinical Considerations.

Fiber posts present significant challenges for nonsurgical endodontic retreatment, as improper removal may result in iatrogenic root perforation or ev...

Research of orthodontic soft tissue profile prediction based on conditional generative adversarial networks.

OBJECTIVE: This study constructed a new conditional generative adversarial network (CGAN) model to predict changes in lateral appearance following ort...

Clinically oriented automatic three-dimensional enamel segmentation via deep learning.

BACKGROUND: Establishing accurate, reliable, and convenient methods for enamel segmentation and analysis is crucial for effectively planning endodonti...

Artificial intelligence-powered innovations in periodontal diagnosis: a new era in dental healthcare.

BACKGROUND: The aging population is increasingly affected by periodontal disease, a condition often overlooked due to its asymptomatic nature. Despite...

Unveiling the role of artificial intelligence applied to clear aligner therapy: A scoping review.

OBJECTIVES: To conduct a scoping review on the application of artificial intelligence (AI) in clear aligner therapy and to assess the extent of AI int...

Abductive multi-instance multi-label learning for periodontal disease classification with prior domain knowledge.

Machine learning is widely used in dentistry nowadays, offering efficient solutions for diagnosing dental diseases, such as periodontitis and gingivit...

Prediction of ECG signals from ballistocardiography using deep learning for the unconstrained measurement of heartbeat intervals.

We developed a deep learning-based extraction of electrocardiographic (ECG) waves from ballistocardiographic (BCG) signals and explored their use in R...

Advanced AI-assisted panoramic radiograph analysis for periodontal prognostication and alveolar bone loss detection.

BACKGROUND: Periodontitis is a chronic inflammatory disease affecting the gingival tissues and supporting structures of the teeth, often leading to to...

Assessment of Craniofacial Growth Pattern Relative to Respiratory Mandibular Movement and Sleep Characteristics: A Pilot Study.

OBJECTIVES:  The primary objective was to evaluate the influence of sagittal skeletal pattern on mandibular movement (MM) during sleep in growing orth...

Single-Cell and Transcriptome Analysis of Periodontitis: Molecular Subtypes and Biomarkers Linked to Mitochondrial Dysfunction and Immunity.

BACKGROUND: Periodontitis represents an inflammatory disease with multiple contributing factors, affecting both oral and systemic health. The mechanis...