# Emerging Diagnostic Modalities in Oral Cancer Detection and Management

## TL;DR

This review explores new non-invasive methods for early detection of oral cancer, which could improve diagnosis and treatment outcomes.

## Contribution

The paper reviews emerging diagnostic technologies like salivary biomarkers and AI for early oral cancer detection.

## Key findings

- Non-invasive methods such as salivary biomarkers show high sensitivity and specificity for oral cancer detection.
- Optical imaging and AI algorithms are promising tools for early diagnosis and accurate assessment.
- Clinical trials are needed to validate these technologies for widespread clinical use.

## Abstract

Oral cancer remains a significant global health concern, yet it is often detected
at an advanced stage. The limitations of traditional diagnostic techniques have
prompted increased research efforts towards the development of more efficient
and early detection methods. Recent advancements in oral cancer diagnosis
include the use of salivary biomarkers, optical imaging, liquid biopsy, advanced
imaging, and AI algorithms. These non-invasive and painless sampling methods
have shown high sensitivity and specificity, particularly in the case of
salivary biomarkers. Clinical trials and cooperation are necessary to
demonstrate the effectiveness of these technologies and gain approval from
relevant authorities and acceptance among clinicians. This review highlights the
potential of these new modalities in transforming the approach to oral cancer
diagnosis, leading to early detection, accurate diagnosis, and quality treatment
for patients, ultimately reducing the global burden of this disease.