Proceedings of the Global Conference on Sustainable Energy Systems, Smart Electronics and Intelligent Computing (GCSESEIC 2025)

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Integrating AI into Modern Strategies for Oral Cancer Screening and Diagnosis

Authors
Radhika Sridharan1, *, N. Anitha1, C. Ramya1, N. Aravindha Babu1, E. Rajesh1
1Department of Oral Pathology and Microbiology, Sree Balaji Dental College and Hospital, Bharath Institute of Higher Education and Research, Bharath University, Chennai, Tamil Nadu, India
*Corresponding author. Email: radhika.dentist@gmail.com
Corresponding Author
Radhika Sridharan
Available Online 24 April 2026.
DOI
10.2991/978-94-6239-654-8_10How to use a DOI?
Keywords
Artificial Intelligence; Oral Cancer; Early Detection; Oral Potentially Malignant Disorders; 1Optical Imaging; Cytology; Salivary Biomarkers; Molecular Diagnostics; Nanotechnology; Tele-screening
Abstract

Oral cancer is a major health problem worldwide, mainly because it is often detected at a late stage. Early diagnosis can greatly improve survival and quality of life, but traditional screening methods depend heavily on trained professionals and are limited in remote and low-resource areas. In recent years, artificial intelligence (AI) has emerged as a powerful tool in oral cancer screening and diagnosis. AI enhances clinical examination, imaging, cytology, molecular analysis, and biomarker detection by improving accuracy, speed, and objectivity. Techniques such as deep learning, machine learning, and image analysis help in identifying early dysplastic changes that may not be visible to the human eye. AI also supports smartphone-based screening and tele-medicine, making early detection possible even in underserved regions. By integrating AI with optical imaging, cytology, salivary biomarkers, molecular targeting, and nanotechnology, oral cancer diagnosis becomes more precise and accessible. This review highlights how AI transforms traditional and advanced diagnostic methods, enabling early detection of oral potentially malignant disorders and oral cancer, and supporting timely and patient-centered care.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the Global Conference on Sustainable Energy Systems, Smart Electronics and Intelligent Computing (GCSESEIC 2025)
Series
Advances in Engineering Research
Publication Date
24 April 2026
ISBN
978-94-6239-654-8
ISSN
2352-5401
DOI
10.2991/978-94-6239-654-8_10How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Radhika Sridharan
AU  - N. Anitha
AU  - C. Ramya
AU  - N. Aravindha Babu
AU  - E. Rajesh
PY  - 2026
DA  - 2026/04/24
TI  - Integrating AI into Modern Strategies for Oral Cancer Screening and Diagnosis
BT  - Proceedings of the Global Conference on Sustainable Energy Systems, Smart Electronics and Intelligent Computing (GCSESEIC 2025)
PB  - Atlantis Press
SP  - 107
EP  - 120
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6239-654-8_10
DO  - 10.2991/978-94-6239-654-8_10
ID  - Sridharan2026
ER  -