Artificial Intelligence in Early Oral Cancer Detection: Digital Transformation from Manual to Machine Learning in OMFS with Special Reference to Nanotechnology

Author(s)	Mr. BENHER DON, Dr.AKILAN, Dr.SWARNAPRIYA
Country	India
Abstract	Oral cancer is a significant global health challenge, with high mortality rates primarily due to late-stage diagnosis. Conventional diagnostic approaches in Oral and Maxillofacial Surgery (OMFS), including clinical examination and biopsy, are often invasive, subjective, and dependent on clinician expertise. The rapid advancement of digital technologies, particularly Artificial Intelligence (AI) and Machine Learning (ML), has led to a paradigm shift from traditional manual diagnostic methods to automated, data-driven systems. In parallel, nanotechnology has emerged as a powerful tool for enhancing early detection at the molecular level. This article explores the digital transformation in OMFS, focusing on the integration of AI and nanotechnology in early oral cancer detection. It highlights current applications, advantages, limitations, and future prospects, emphasizing their potential to improve diagnostic accuracy, enable non-invasive screening, and enhance patient outcomes.
Keywords	Oral cancer, Artificial Intelligence, Machine Learning, Nanotechnology, OMFS, Early detection
Field	Medical / Pharmacy
Published In	Volume 8, Issue 2, March-April 2026
Published On	2026-04-08

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