AIMC Topic: Oral Health
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Evaluation of the accuracy of ChatGPT-4 and Gemini's responses to the World Dental Federation's frequently asked questions on oral health.
BMC oral health
Aug 2, 2025
BACKGROUND: The field of artificial intelligence (AI) has experienced considerable growth in recent years, with the advent of technologies that are transforming a range of industries, including healthcare and dentistry. Large language models (LLMs) a...
Assessing ChatGPT's suitability in responding to the public's inquires on the effects of smoking on oral health.
BMC oral health
Jul 19, 2025
BACKGROUND: With the growing use of Artificial Intelligence (AI) in healthcare, language models like ChatGPT are increasingly being used to provide health information. Given smoking's significant impact on oral health, including periodontal disease, ...
An explainable RoBERTa approach to analyzing panic and anxiety sentiment in oral health education YouTube comments.
Scientific reports
Jul 1, 2025
Online videos are vital for health education and medical decision-making, but their comment sections often spread misinformation, causing anxiety and confusion. This study identifies stress-inducing comments in oral health education content, aiming t...
Development and validation of an AI-enabled oral score using large-scale dental data.
Scientific reports
Jul 1, 2025
This research introduces Oral Score Basic (OS-B), a novel Artificial Intelligence (AI) derived methodology designed to provide a comprehensive, objective assessment of individual teeth and overall oral health, initially focused on dental conditions. ...
Comparison of salivary statherin and beta-defensin-2 levels, oral health behaviors, and demographic factors in children with and without early childhood caries.
BMC oral health
May 31, 2025
BACKGROUND: Early childhood caries (ECC) is a widespread pediatric dental condition that is influenced by a combination of biological, behavioral, and demographic factors. Salivary biomarkers, including beta-defensin-2 (BD-2) and statherin (STATH), o...
Low-cost and scalable machine learning model for identifying children and adolescents with poor oral health using survey data: An empirical study in Portugal.
PloS one
Jan 24, 2025
This empirical study assessed the potential of developing a machine-learning model to identify children and adolescents with poor oral health using only self-reported survey data. Such a model could enable scalable and cost-effective screening and ta...
Development of a survey-based stacked ensemble predictive model for autonomy preferences in patients with periodontal disease.
Journal of dentistry
Nov 18, 2024
OBJECTIVES: This study aimed to develop a model to predict the autonomy preference (AP) and satisfaction after tooth extraction (STE) in patients with periodontal disease. Understanding of individual AP and STE is essential for improving patient sati...
EDAI Framework for Integrating Equity, Diversity, and Inclusion Throughout the Lifecycle of AI to Improve Health and Oral Health Care: Qualitative Study.
Journal of medical Internet research
Nov 15, 2024
BACKGROUND: Recent studies have identified significant gaps in equity, diversity, and inclusion (EDI) considerations within the lifecycle of artificial intelligence (AI), spanning from data collection and problem definition to implementation stages. ...
Self-monitoring of Oral Health Using Smartphone Selfie Powered by Artificial Intelligence: Implications for Preventive Dentistry.
Oral health & preventive dentistry
Sep 23, 2024
PURPOSE: With the increasing use of artificial intelligence (AI) in dentistry, it is feasible to self-monitor oral health using Oral Health AI Advisors (OHAI Advisors). This technological advancement offers the potential for early detection of oral d...
Human-AI collaboration improves adults' oral biomechanical functions: A multi-centre, self-controlled clinical trial.
Journal of dentistry
Sep 21, 2024
OBJECTIVES: Maintenance of oral muscle functions is important for survival and communication. Utilizing Artificial Intelligence (AI) as a self-health-management material has shown promise. Here we developed a functional and AI-enabled smartphone e-Or...
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