Dental Health

Information from digital and human sources: A comparison of chatbot and clinician responses to orthodontic questions.

INTRODUCTION: This study aimed to investigate whether artificial intelligence (AI)-based chatbots can be used as reliable adjunct tools in orthodontic practice by evaluating chatbot responses and comparing them to those of clinicians with varying levels of knowledge.

Efficacy of artificial intelligence in radiographic dental age estimation of patients undergoing dental maturation: A systematic review and meta-analysis.

BACKGROUND: Dental age (DA) estimation, crucial for appropriate orthodontic and paediatric treatment planning, traditionally relies on the analysis of developmental stages of teeth. Artificial intelligence (AI) has been increasingly employed for DA estimation through dental radiographs. The current study aimed to systematically review the literature on the application of AI models for radiographic...

Digital and artificial intelligence-assisted cephalometric training effectively enhanced students' landmarking accuracy in preclinical orthodontic education.

BACKGROUND: Digital cephalometric analyses, including those assisted by artificial intelligence (AI), are widely used in clinical practice. Similarly,...

Identification and Validation of Ferritinophagy-Related Biomarkers in Periodontitis.

OBJECTIVE: While ferritinophagy is believed to play a significant role in the development of periodontitis, the exact mechanisms remain unclear. This ...

Machine learning models for improving the diagnosing efficiency of skeletal class I and III in German orthodontic patients.

The precise and efficient diagnosis of an individual's skeletal class is necessary in orthodontics to ensure correct and stable treatment planning. Ho...

A Novel Hierarchical Cross-Stream Aggregation Neural Network for Semantic Segmentation of 3-D Dental Surface Models.

Accurate teeth delineation on 3-D dental models is essential for individualized orthodontic treatment planning. Pioneering works like PointNet suggest...

A robust and omnidirectional-sensitive electronic antenna for tactile-induced perception.

Skin-like planar tactile sensors have achieved adaptive gripping, in-hand manipulation, and human-machine interaction but remain limited in tasks requ...

Predicting changes of incisor and facial profile following orthodontic treatment: a machine learning approach.

BACKGROUND: Facial aesthetics is one of major motivations for seeking orthodontic treatment. However, even for experienced professionals, the impact a...

Effectiveness of AI-generated orthodontic treatment plans compared to expert orthodontist recommendations: a cross-sectional pilot study.

INTRODUCTION: Artificial intelligence (AI) has become a prominent focus in orthodontics.

Deciphering the Pharmacological Potential of Kouqiangjie Formula for the Treatment of Diabetic Periodontitis Based on Network Pharmacology, Machine Learning, Molecular Dynamics, and Animal Experiments.

BACKGROUND: Periodontitis (PD) and type 2 diabetes mellitus (T2DM) represent interlinked global health burdens, commonly causing significant clinical ...

Artificial intelligence models for periodontitis classification: A systematic review.

OBJECTIVES: The graded diagnosis of periodontitis has always been a difficulty for dentists. This systematic review aimed to investigate the performan...

Estimating Periodontal Stability Using Computer Vision.

Periodontitis is a severe infection affecting oral and systemic health and is traditionally diagnosed through clinical probing-a process that is time-...

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 employin...

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...

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...