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Oral Cavity01:11

Oral Cavity

700
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...
700
Assessment of the Mouth01:26

Assessment of the Mouth

207
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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Related Experiment Video

Updated: Jul 3, 2025

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures
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Research in methodologies for modelling the oral cavity.

Muhammad Suhaib Shahid1, Andrew P French1,2, Michel F Valstar1

  • 1School of Computer Science, University of Nottingham, NG8 1BB, United Kingdom.

Biomedical Physics & Engineering Express
|February 13, 2024
PubMed
Summary
This summary is machine-generated.

This review explores in silico oral modelling, proposing a new, efficient system for complete oral cavity representation. This technology aids research in speech, food processing, and personalized dental care.

Keywords:
AI in the physical worldclinical phoneticsvocal tract research

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Area of Science:

  • Biomedical Engineering
  • Computational Modeling
  • Oral Health Research

Background:

  • Current in silico oral modelling lacks comprehensive representation of the entire oral cavity and related facial features.
  • Existing 3D modelling technologies for oral structures are often costly and time-consuming.
  • Understanding oral actions requires integrating internal and external anatomical data with synergistic stimuli.

Purpose of the Study:

  • To review current methodologies and technologies for in silico oral modelling.
  • To classify oral actions relevant to speech and non-speech movements using clinical phonetics.
  • To propose a novel, efficient modelling system for the oral cavity.

Main Methods:

  • Literature review of in silico oral modelling approaches.
  • Classification of oral actions based on clinical phonetics and vocal organ function.
  • Development of a new modelling system using external-to-internal correlation techniques.

Main Results:

  • A comprehensive overview of 12 articulatory recording methods is provided, with guidance for researchers.
  • Limitations of existing cost- and resource-intensive modelling methods are identified.
  • A novel modelling system is proposed to enhance efficiency in oral cavity representation.

Conclusions:

  • The proposed in silico oral modelling system offers a more efficient approach to representing the oral cavity.
  • Applications include speech correction, designing foods for specific populations, and personalized dental treatment planning.
  • This technology has broad potential for improving understanding of oral functions related to physiology, health, and wellbeing.