Document Type : Short Communication

Author

• Manas Bajpai

Dept. of Oral and Maxillofacial Pathology, NIMS Dental College, Jaipur, India.

Abstract

Oral cancer represents a significant global health challenge with rising incidence and mortality rates in various regions. The prognosis of oral cancer significantly increases if it is diagnosed in early stages. Artificial intelligence (AI) has demonstrated significant potential in enhancing early oral cancer diagnosis through various applications, revolutionizing the field of oral pathology. These innovative approaches are transforming the way healthcare professionals detect, asses and mange the cases of oral cancer cases, potentially leading to improved patient outcomes and reduced mortality rates. This brief communication explores the integration AI in the early diagnosis of oral cancer, highlighting recent advancements and potential future applications. The study reviews current methodologies employing AI technologies, such as machine learning and deep learning algorithms, to enhance the accuracy and efficiency of oral cancer detection. It discusses the role of AI in analyzing clinical images, patient data, and other diagnostic tools, emphasizing its ability to identify precancerous lesions and reduce diagnostic delays.

Keywords

• Artificial intelligence
• Oral cancer
• Squamous cell carcinoma
• Oral health