A Multimodal AI-Based Diagnostic Framework for Early Detection of Breast, Colon, and Cervical Cancers Using Imaging and Genomic Data Fusion
Received Date: Mar 01, 2025 / Accepted Date: Mar 31, 2025 / Published Date: Mar 31, 2025
Abstract
Cancer remains a major global health burden, with breast, colon, and cervical cancers among the leading causes of mortality in women worldwide. Despite advancements in diagnostic imaging and genomics, early and accurate detection continues to be a challenge, especially in low-resource settings. This paper proposes a novel multimodal AI-based diagnostic framework that integrates medical imaging and genomic data using advanced machine learning and deep learning algorithms. By fusing these complementary data sources, the proposed system aims to enhance the sensitivity and specificity of cancer detection during the early stages, thereby improving prognosis and survival rates.
Citation: Radhika M (2025) A Multimodal AI-Based Diagnostic Framework for EarlyDetection of Breast, Colon, and Cervical Cancers Using Imaging and GenomicData Fusion. J Cancer Diagn 9: 284.
Copyright: 漏 2025 Radhika M. This is an open-access article distributed underthe terms of the Creative Commons Attribution License, which permits unrestricteduse, distribution, and reproduction in any medium, provided the original author andsource are credited.
Select your language of interest to view the total content in your interested language
Share This Article
Recommended Journals
Open Access Journals
Article Usage
- Total views: 364
- [From(publication date): 0-0 - Apr 18, 2026]
- Breakdown by view type
- HTML page views: 251
- PDF downloads: 113
