Clinical Scorecard: A Comprehensive Review of Artificial Intelligence Applications in Classifying Oral Cancer and Potentially Malignant Oral Disorders Using Visible-Light Imaging

At a Glance

Key Highlights

• Oral cancer is the 16th most prevalent cancer globally, with significant morbidity and mortality.
• Oral potentially malignant disorders (OPMDs) have a higher rate of malignant transformation to oral squamous cell carcinoma (OSCC).
• Histopathological biopsy is the gold standard for diagnosing oral lesions, but AI can enhance detection and risk stratification.
• AI techniques, particularly deep learning, are emerging as tools for automated classification of oral lesions.
• There is a need for accessible diagnostic tools to support earlier detection of oral cancer across diverse healthcare settings.

Guideline-Based Recommendations

Diagnosis

• Histopathological biopsy remains the gold standard for identifying lesion types.

Management

• Incorporate AI into established workflows for oral lesion classification.

Monitoring & Follow-up

• Utilize AI for improved surveillance of oral lesions and risk assessment.

Risks

• Social deprivation and lifestyle factors such as tobacco use and alcohol consumption are linked to increased oral cancer rates.

Patient & Prescribing Data

Individuals with oral lesions or at risk of oral cancer

AI applications can assist in early detection and classification, potentially improving patient outcomes.

Clinical Best Practices

• Employ visible-light intraoral clinical photography for routine management of oral lesions.
• Utilize AI and machine learning to enhance diagnostic accuracy and efficiency.

Related Resources & Content

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