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Related Concept Videos

Assessment of the Mouth01:26

Assessment of the Mouth

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A thorough mouth assessment, including inspection and palpation of the lips, gums, tongue, tonsils, uvula, and pharynx, is crucial in detecting potential health issues. Diseases ranging from oral cancer to systemic conditions like diabetes could be identified early through careful oral examination. This article provides a detailed guide on conducting a comprehensive mouth assessment.
Mouth Inspection
The inspection begins with visually examining the mouth for symmetry, color, and size.
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Tooth Anatomy01:21

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The human tooth enables us to eat a variety of foods, speak clearly, and even aid in shaping our faces. Teeth are composed of various elements that work together. Here's a detailed look at the anatomy of a human tooth.
The Crown, Neck, and Root
The visible part of the tooth is referred to as the crown. It's covered by enamel, the hardest substance in the human body. The crown is uniquely shaped for each type of tooth, allowing for different functions such as cutting, tearing, or...
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The Oral Microbiota01:27

The Oral Microbiota

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The oral microbiome includes a complex ecosystem comprising over 700 microbial species, identified through genomic sequencing and culture-based analyses to date. This community includes a core microbiome, found universally among individuals, and a variable component influenced by environmental factors such as diet, lifestyle, and host genetics. Site-specific conditions, including oxygen gradients, pH levels, and nutrient availability, determine the spatial distribution of these microorganisms...
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Oral Cavity01:11

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The oral cavity, or the mouth, is a complex structure in humans that plays a vital role in our day-to-day lives. Its role is not only in chewing and swallowing food; it also plays a role in speech and facial expressions.
Teeth: The teeth are the hardest structures in our bodies. Humans have two sets of teeth throughout their lifetime: deciduous (baby) teeth and permanent teeth. Each tooth consists of several parts: the crown (visible part), the root (embedded in the jaw), enamel (hard outer...
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Development of the Oral Microbiota01:28

Development of the Oral Microbiota

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The establishment of the oral microbiome begins before birth, challenging the long-held belief that the fetal oral cavity is sterile. The presence of oral microbes such as Streptococcus and Fusobacterium in amniotic fluid suggests that microbial exposure may occur in utero, potentially through translocation from the maternal oral or gastrointestinal tract. This early colonization primes the neonatal immune system and sets the stage for subsequent microbial succession. Maternal health,...
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Healthcare Associated Infections II: Preventive Measures01:22

Healthcare Associated Infections II: Preventive Measures

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Essential infection prevention measures are based on the knowledge of the infection chain, the modes of transmission in healthcare settings, and the use of the best practices in all healthcare settings. Compulsory public reporting of healthcare-associated infection rates is needed to allow individuals and the community to make informed choices regarding selecting a healthcare facility.
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Oral Health Assessment by Lay Personnel for Older Adults
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AI in Oral Health Surveillance: Critical Review.

Z Chen1,2, P Liu1, K Han2

  • 1Applied Oral Sciences & Community Dental Care, Faculty of Dentistry, The University of Hong Kong, Hong Kong.

Journal of Dental Research
|April 10, 2026
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) advances oral health surveillance by analyzing epidemiological data and intraoral images. Future systems will integrate diverse data using multimodal large language models (LLMs) for precision public health.

Keywords:
artificial intelligencecomputer visionconvolutional neural networksdeep learning/machine learningdental public healthoral diagnosis

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Area of Science:

  • Oral Health Surveillance
  • Artificial Intelligence
  • Public Health Informatics

Background:

  • Oral health surveillance is crucial for monitoring population health and inequities.
  • Existing methods face challenges in data integration and scalability.
  • Artificial intelligence offers potential solutions for streamlining oral health surveillance.

Purpose of the Study:

  • To review and synthesize current and emerging artificial intelligence (AI) applications in oral health surveillance.
  • To clarify the strengths of different AI models (machine learning, computer vision, LLMs) for various data types.
  • To outline future directions for AI-driven oral health surveillance, emphasizing multimodal data integration and ethical considerations.

Main Methods:

  • Literature review and critical synthesis of AI applications in oral health surveillance.
  • Analysis of AI model capabilities (machine learning, computer vision, LLMs) for structured, unstructured (images), and multimodal data.
  • Discussion of challenges and recommendations for scalable AI implementation in surveillance.

Main Results:

  • Machine learning effectively maps population-level oral health trends and inequities using structured epidemiological data.
  • Computer vision models enable remote screening of various oral conditions from intraoral images.
  • Emerging large language models (LLMs) show promise for integrating multimodal data for precision public health.

Conclusions:

  • AI, particularly multimodal LLMs, can significantly enhance oral health surveillance by integrating diverse data streams.
  • Standardized protocols, scalable models, and ethical frameworks are essential for successful AI implementation.
  • AI-driven systems can shift oral health monitoring towards actionable insights for public health policy.