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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM60295
Volume:
10 |
4 |
April 2026
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Millions of new cases of breast cancer are diagnosed each year, making it one of the biggest global health issues. Although timely diagnosis is still hampered by limited access to qualified radiologists and diagnostic Resources, early and accurate detection significantly improve, treatment outcomes. In order to help radiologist detect and interpret cases of breast cancer this study presents MammoAI, an intelligent system that combines Artificial Intelligence (AI) and Natural Language Processing (NLP). Convolutional Neural Networks (CNNs) are used by the AI model to analyze mammograms automatically and accurately detect possible cancers. The NLP module bridges the communication gap between patients and medical professionals by simultaneously interpreting complex radiology reports and producing summaries that are easy for patients to understand. Through interpretable AI explanations, experimental         analysis         shows                that MammoAI not only improves diagnostic efficiency but also        fosters  patient  understanding.  The  system demonstrates how AI has the potential to revolutionize health communication and medical imaging.
KEYWORDS
Publication Date
4/15/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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The authors declare no conflict of interest related to this research work.
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