Artificial Intelligen Cein Oral Cancer: Early Detection of Oral Malignancy in the Oral Mucosa

BHAWANA YADAV; BHARAT YADAV

Artificial Intelligen Cein Oral Cancer: Early Detection of Oral Malignancy in the Oral Mucosa

Author(s)	Dr. BHAWANA YADAV, Dr. BHARAT YADAV
Country	India
Abstract	Background: Oral cancer, predominantly arising from the oral mucosa, represents a significant global health burden with a five-year survival rate that remains distressingly low when diagnosed at advanced stages. The advent of Artificial Intelligence (AI) — encompassing machine learning (ML), deep learning (DL), and convolutional neural networks (CNNs) — has created transformative opportunities for the early and accurate detection of oral potentially malignant disorders (OPMDs) and frank oral squamous cell carcinoma (OSCC). Objective: This comprehensive review examines the current landscape of AI applications in oral cancer screening, with emphasis on image-based detection of mucosal abnormalities, clinical integration challenges, and the role of AI in democratizing early diagnosis within diverse healthcare systems. Methods: A systematic review of peer-reviewed literature published between 2015 and 2024 was conducted across PubMed, Scopus, Web of Science, and IEEE Xplore databases, yielding 78 relevant studies meeting inclusion criteria. Results: AI models — particularly CNNs and transformer-based architectures — demonstrated sensitivity and specificity values frequently exceeding 90% in controlled datasets for detection of leukoplakia, erythroplakia, oral submucous fibrosis, and OSCC. Integration within point-of-care systems and smartphone-based screening tools has shown particular promise for low-resource settings. Conclusion: AI holds exceptional potential for revolutionizing oral cancer early detection, though challenges in dataset diversity, clinical validation, regulatory frameworks, and ethical deployment require systematic resolution.
Keywords	Keywords: Artificial Intelligence, Oral Cancer, Oral Squamous Cell Carcinoma, Machine Learning, Deep Learning, Oral Mucosa, Early Detection, Oral Potentially Malignant Disorders, Convolutional Neural Networks, Healthcare Systems
Field	Medical / Pharmacy
Published In	Volume 8, Issue 2, March-April 2026
Published On	2026-03-23

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Artificial Intelligen Cein Oral Cancer: Early Detection of Oral Malignancy in the Oral Mucosa

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