Revolutionizing Oral Cancer Detection: Fusing the Power of Light and AI for Early Diagnosis

Abstract

Early detection and accurate diagnosis of oral cancer are critical for improving patient prognosis. However, current screening methods often fail to identify all lesions, highlighting the need for more effective approaches. Optical Coherence Tomography (OCT), an advanced optical imaging technology, shows promise in detecting malignant cells. OCT images require specialized interpretation due to their detailed information. Artificial Intelligence (AI), leveraging trained algorithms, can analyze imperceptible variations, overcoming barriers that have delayed OCT integration into oral cancer screening. This review explores OCT's depiction of precancerous and cancerous oral lesions and discusses AI's role in enhancing detection and diagnosis.