Molecular Biomarkers and Machine Learning in Oral Cancer: A Systematic Review and Meta‐Analysis

ML models leveraging molecular and imaging biomarkers show strong potential to improve OSCC diagnosis, risk stratification, and prognosis, particularly through multimodal integration.

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Publication Details

Journal
Oral Diseases
Published
2025-10-13
DOI
https://doi.org/10.1111/odi.70121
Citations
1
Primary Topic
Head and Neck Cancer Studies
Type
article
Field-Weighted Citation Impact
1.85
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article

Molecular Biomarkers and Machine Learning in Oral Cancer: A Systematic Review and Meta‐Analysis

Annie Marcela Vivares‐Builes, Eliana Pineda‐Vélez, Carlos M. Ardila
1 citations
Oral Diseases
Head and Neck Cancer Studies
1.85
article

Molecular Biomarkers and Machine Learning in Oral Cancer: A Systematic Review and Meta‐Analysis

Annie Marcela Vivares‐Builes, Eliana Pineda‐Vélez, Carlos M. Ardila
article en
1 citations

Abstract

ML models leveraging molecular and imaging biomarkers show strong potential to improve OSCC diagnosis, risk stratification, and prognosis, particularly through multimodal integration.

Oral Diseases
Universidad de Antioquia (CO), Institución Universitaria Esumer (CO), Saveetha University (IN)
Openalex Percentile: Top 11%
Head and Neck Cancer Studies
1.85
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