Recent advancements in diagnosis of oral cancer
Background: Late diagnosis drives poor outcomes in oral cancer. Non-invasive and tech-driven diagnostics may improve early detection. Methods: Comprehensive literature review (2015–2025) across PubMed, Scopus, Web of Science. Results: OCT, narrow-band imaging, autofluorescence and salivary biomarkers (IL-8, Cyfra 21-1, miRNAs) show promise. AI (CNNs) and digital pathology enhance image interpretation and triage; telemedicine improves access. Conclusion: Integrating imaging, molecular biomarkers and AI could improve early detection and reduce mortality; implementation research needed for routine use.
Authors
- Kanika Bhalla (ORCID: https://orcid.org/0000-0001-8663-5813)
- Meena Jain
- Aditi Sharma
- Neeraj Grover
Institutions
- Santosh University (IN)
Publication Details
- Journal
- Indian Journal of Dental Research
- Published
- 2026-03-01
- DOI
- https://doi.org/10.4103/ijdr_202637s1_abs_53
- Primary Topic
- Oral Health Pathology and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00