Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Assessment of the Mouth

Assessment of the Mouth

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.

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

FedAttn-Credit: attention-augmented federated learning with adaptive differential privacy for rural inclusive finance credit assessment.

Scientific reports·2026

Same author

Author Correction: Multi-omics profiling reveals tumor microenvironment characteristics linked to immunotherapy response and prognosis in non-small cell lung cancer.

NPJ precision oncology·2026

Same author

Multi-omics profiling reveals tumor microenvironment characteristics linked to immunotherapy response and prognosis in non-small cell lung cancer.

NPJ precision oncology·2026

Same author

Influence of Preoperative Cognitive Function, Self-Efficacy, and Postoperative Psychological Counselling on Anxiety and Depression Levels in Patients Undergoing Botulinum Toxin Injections.

Actas espanolas de psiquiatria·2026

Same author

Methylation of MATCAP by PRMT5 regulates microtubule detyrosination to ensure mitotic fidelity.

Journal of molecular cell biology·2026

Same author

The Gut Microbiota-Tryptophan-Brain Axis in Autism Spectrum Disorder: A New Frontier for Probiotic Intervention.

Microorganisms·2026

Search research articles

Related Experiment Video

Updated: Aug 26, 2025

Objectification of Tongue Diagnosis in Traditional Medicine, Data Analysis, and Study Application

Objectification of Tongue Diagnosis in Traditional Medicine, Data Analysis, and Study Application

Published on: April 14, 2023

Human-computer interaction based health diagnostics using ResNet34 for tongue image classification.

Qingbin Zhuang¹, Senzhong Gan², Liangyu Zhang¹

¹Fine Art and Design College, Quanzhou Normal University, Quanzhou, 362000, China.

Computer Methods and Programs in Biomedicine

|October 3, 2022

Summary

This summary is machine-generated.

This study developed an AI health detector using deep learning for Traditional Chinese Medicine (TCM) tongue diagnosis. The system accurately identifies tongue features, improving health assessments and offering personalized suggestions.

Keywords:

Convolutional neural network Deep learning Health detector Human-computer interaction ResNet34 Tongue image

More Related Videos

Deep Neural Networks for Image-Based Dietary Assessment

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

µTongue: A Microfluidics-Based Functional Imaging Platform for the Tongue In Vivo

µTongue: A Microfluidics-Based Functional Imaging Platform for the Tongue In Vivo

Published on: April 22, 2021

Related Experiment Videos

Last Updated: Aug 26, 2025

Objectification of Tongue Diagnosis in Traditional Medicine, Data Analysis, and Study Application

Objectification of Tongue Diagnosis in Traditional Medicine, Data Analysis, and Study Application

Published on: April 14, 2023

Deep Neural Networks for Image-Based Dietary Assessment

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

µTongue: A Microfluidics-Based Functional Imaging Platform for the Tongue In Vivo

µTongue: A Microfluidics-Based Functional Imaging Platform for the Tongue In Vivo

Published on: April 22, 2021

Area of Science:

Artificial Intelligence in Medicine
Traditional Chinese Medicine Diagnostics
Digital Health

Background:

Traditional Chinese Medicine (TCM) tongue diagnosis is subjective and influenced by various factors.
Modernization of TCM tongue diagnosis requires objective and standardized methods.
Tongue diagnosis instruments offer advantages in clinical practice.

Purpose of the Study:

To construct a tongue image dataset and detection model for TCM.
To develop a human-computer interaction intelligent health detector for tongue image recognition.
To leverage deep learning and visual question answering for objective tongue diagnosis.

Main Methods:

Collected and annotated 1420 tongue images to form a dataset.
Applied deep learning Convolutional Neural Network (CNN) models, specifically ResNet34, for feature extraction and classification.
Utilized VGG16 for comparative analysis of classification models.

Main Results:

The ResNet34 architecture demonstrated superior performance in recognizing teeth marks and tongue features.
The proposed teeth-printed tongue recognition model achieved over 10% higher accuracy than existing methods.
An AI health detector was designed, integrating datasets and visual question answering for health assessments.

Conclusions:

Deep learning-based CNN models enable faster and more convenient tongue feature extraction.
The developed model exhibits excellent performance, strong generalization, and accurate health status judgment.
The AI health detector provides reliable health assessments and user recommendations.