Harnessing the power of ANN for early detection and prediction of oral cancer
The high precision and specificity values underscore the effectiveness of ANN-based classification using optical refractive index features for oral cancer screening. By reducing false positives and preventing unnecessary anxiety among healthy individuals, the proposed approach offers significant clinical value. These findings demonstrate the potential of ANN-assisted optical analysis as a reliable and efficient tool for early oral cancer detection, paving the way for faster diagnosis and improved patient outcomes.
Authors
- Anup M. Upadhyaya (ORCID: https://orcid.org/0000-0002-6357-6782)
- Preeta Sharan (ORCID: https://orcid.org/0000-0002-3549-7147)
- Ranjeet Kumar Pathak (ORCID: https://orcid.org/0000-0002-2638-5936)
- Naglaa AbdelAll
- Ghada A. Khouqeer
- Sandip Kumar Roy
Institutions
- Imam Mohammad ibn Saud Islamic University (SA)
- Islamic University (BD)
- Science Oxford (GB)
- Korea Telecom (South Korea) (KR)
- Oxford Spires Academy (GB)
Publication Details
- Journal
- Frontiers in Artificial Intelligence
- Published
- 2026-01-28
- DOI
- https://doi.org/10.3389/frai.2026.1723566
- Primary Topic
- Oral Health Pathology and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Al-Imam Muhammad Ibn Saud Islamic University