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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.

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Related Experiment Video

Updated: May 8, 2026

Semi-Automated Planimetric Quantification of Dental Plaque Using an Intraoral Fluorescence Camera

Semi-Automated Planimetric Quantification of Dental Plaque Using an Intraoral Fluorescence Camera

Published on: January 27, 2023

Advancing oral leukoplakia progression recognition: A benchmark with dataset, method, and application.

Linfei Feng¹, Qiankun Li², Hao Wang³

¹Department of Oral and Maxillofacial Surgery, The First Afliated Hospital of Anhui Medical University, Hefei, China; University of Science and Technology of China, Hefei, China.

Neural Networks : the Official Journal of the International Neural Network Society

|November 14, 2025

Summary

This study introduces a new benchmark task and dataset for recognizing oral leukoplakia progression, a precursor to oral cancer. The developed OLPNet model shows high accuracy in classifying oral lesions, aiding early detection.

Keywords:

Benchmark dataset Methods evaluation Oral leukoplakia progression recognition

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Last Updated: May 8, 2026

Semi-Automated Planimetric Quantification of Dental Plaque Using an Intraoral Fluorescence Camera

Semi-Automated Planimetric Quantification of Dental Plaque Using an Intraoral Fluorescence Camera

Published on: January 27, 2023

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

Author Spotlight: Unlocking the Mysteries of Oral Potential Malignancies

Author Spotlight: Unlocking the Mysteries of Oral Potential Malignancies

Published on: August 11, 2023

Area of Science:

Oral Medicine
Medical Imaging
Machine Learning

Background:

Oral leukoplakia is a potentially malignant disorder and a precursor to oral squamous cell carcinoma (OSCC).
Early detection of leukoplakia progression is crucial for timely intervention and improved patient outcomes.
Existing methods primarily focus on oral cancer recognition, overlooking the challenge of leukoplakia progression.

Purpose of the Study:

To introduce Oral Leukoplakia Progression Recognition (OLPR) as a novel benchmark task.
To develop a high-quality dataset for OLPR, including an external validation set.
To propose and evaluate a deep learning model, OLPNet, for accurate classification of oral lesion progression.

Main Methods:

Construction of the OLPR dataset from public and clinical data.
Development of the Oral Leukoplakia Progression Network (OLPNet) using a ConvNeXt backbone and a Feature Refinement Module (FRM).
Benchmarking OLPNet against 15+ classic and state-of-the-art classification models.

Main Results:

OLPNet achieved high F1-scores of 91.34% on the OLPR dataset and 90.63% on the external validation dataset.
The proposed OLPNet model demonstrated superior performance compared to existing state-of-the-art methods.
Comprehensive benchmarking provided insights into various classification models for oral lesion progression.

Conclusions:

The OLPNet model effectively recognizes oral leukoplakia progression, outperforming current methods.
The OLPR dataset and benchmark provide a valuable resource for advancing research in this area.
Accurate classification of oral lesions is essential for early diagnosis and management of oral cancer precursors.