# Use of Artificial Intelligence for Diagnosing Oral Mucosa Conditions: A Review

## TL;DR

This review explores how artificial intelligence can help diagnose oral mucosa conditions more quickly and accurately.

## Contribution

The paper reviews AI's potential for diagnosing specific oral mucocutaneous diseases.

## Key findings

- AI can analyze large datasets and improve diagnostic accuracy in medical fields.
- AI may help distinguish between benign and malignant oral lesions.
- AI applications in dentistry could lead to faster and more cost-effective diagnosis.

## Abstract

Artificial Intelligence (AI) is a computer science that focuses on developing systems and machines capable of performing tasks that typically require human cognitive abilities. It has widespread applications in medical diagnostics. Its use has led to rapid advancements in diagnostic methodology, enabling the analysis of large datasets. The major applications of AI in medical diagnostics include personalized treatment based on patient genetics, preventive measures, and medical image analysis. AI is employed to analyse genomic data and biomarkers, aiding in the precise tailoring of therapies to individual patient needs. It could also be employed in modern dentistry in the near future, helping to achieve higher efficiency and accuracy in diagnosis and treatment planning. AI may be utilized in screening for oral mucosa lesions and to discriminate between oral potentially malignant disorders and cancers from benign lesions. The potential advantages of AI include high speed and accuracy in the diagnostic process, as well as relatively low costs. The aim of this review was to present the potential applications of AI methods in the diagnosis of selected mucocutaneous diseases. A literature review focuses on oral lichen planus, recurrent aphthous stomatitis, and oral and laryngeal leukoplakia.