MINI REVIEW article
Front. Oral. Health
Sec. Preventive Dentistry
Volume 6 - 2025 | doi: 10.3389/froh.2025.1592428
Artificial Intelligence-Driven Clinical Decision Support Systems for Early Detection and Precision Therapy in Oral Cancer: A Mini Review
Provisionally accepted
- 1Centre for Stem cell Mediated Advanced Research Therapeutics, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, India
- 2Centre of Medical and Bio-Allied Health Sciences Research, Ajman University, Ajman, Ajman, United Arab Emirates
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Oral cancer (OC) is a significant global health burden, with life-saving improvements in survival and outcomes being dependent on early diagnosis and precise treatment planning.However, diagnosis and treatment planning are predicated on the synthesis of complicated information derived from clinical assessment, imaging, histopathology and patient histories.Artificial intelligence-based clinical decision support systems (AI-CDSS) provides a viable solution that can be implemented via advanced methodologies for data analysis, and synthesis for better diagnostic and prognostic evaluation. This review presents AI-CDSS as a promising solution through advanced methodologies for comprehensive data analysis. In addition, it examines current implementations of AI-CDSS that facilitate early OC detection, precise staging, and personalized treatment planning by processing multimodal patient information through machine learning, computer vision, and natural language processing. These systems effectively interpret clinical results, identify critical disease patterns (including clinical stage, site, tumor dimensions, histopathologic grading, and molecular profiles), and construct comprehensive patient profiles. This comprehensive AI-CDSS approach allows for early cancer detection, a reduction in diagnostic delays and improved intervention outcomes.Moreover, the AI-CDSS also optimizes treatment plans on the basis of unique patient parameters, tumor stages and risk factors, providing personalized therapy.
Keywords: oral cancer, Early detection, AI-CDSS, Patient data, Accurate treatment planning
Received: 12 Mar 2025; Accepted: 17 Apr 2025.
Copyright: © 2025 Karuppan Perumal, Rajan Renuka, Kumar and Natarajan. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Remya Rajan Renuka, Centre for Stem cell Mediated Advanced Research Therapeutics, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, India
Prabhu Manickam Natarajan, Centre of Medical and Bio-Allied Health Sciences Research, Ajman University, Ajman, Ajman, United Arab Emirates
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.