International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | Emerging Methodologies for Oral Cancer Detection: Comprehensive Review |
|---|---|
| ABSTRACT | Oral cancer remains a major global health burden, accounting for significant morbidity and mortality worldwide. Despite considerable advances in treatment strategies, survival rates remain relatively low due to delayed diagnosis and limited access to early detection facilities. Conventional diagnostic approaches, including visual examination and biopsy, continue to serve as the standard methods for diagnosis. These traditional invasive methods are time taking and painful and often identify lesions only after substantial disease progression. Consequently, there is a growing need for innovative, non-invasive, accurate, and cost-effective diagnostic technologies capable of identifying oral cancer at its earliest stages. Recent advancements in biomedical engineering, molecular biology, artificial intelligence (AI), and imaging technologies have significantly transformed the landscape of oral cancer detection. Advanced optical imaging techniques, including fluorescence imaging, narrow-band imaging, and con-focal microscopy, have enhanced the visualization of precancerous and malignant lesions. Simultaneously, molecular diagnostic approaches utilizing salivary biomarkers, circulating tumor DNA (ctDNA), proteomics, and metabolomics have emerged as promising tools for non-invasive cancer screening. Artificial intelligence-based diagnostic systems, portable point-of-care devices, and telemedicine platforms further support early diagnosis and improved accessibility to healthcare services. This review discusses recent advancements in oral cancer detection technologies, their clinical applications, advantages, limitations, and future prospects. |
| AUTHOR | ABHIJIT G. KALBANDE, DR AJAY P. THAKARE, DR. VAISHALI A. THAKARE Research Scholar, Dept. of EXTC, PRMCEAM, Badnera (Amravati), India Professor, Dept. of EXTC, PRMCEAM, Badnera (Amravati), India Lecturer, Dept. of General Pathology & Microbiology, Dental College & Hospital, Amravati, India |
| VOLUME | 185 |
| DOI | DOI: 10.15680/IJIRCCE.2026.1406017 |
| pdf/17_Emerging Methodologies for Oral Cancer Detection Comprehensive Review.pdf | |
| KEYWORDS | |
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