Morden AI Tools in Breast Cancer: A Comprehensive Review

Author(s)	Atharav Sachin Nijampurkar, Darshana Namdeo Mugutkar
Country	India
Abstract	Breast cancer is a prevalent malignancy affecting millions globally, necessitating early detection to enhance survival rates. This research paper explores the transformative role of artificial intelligence (AI) in improving breast cancer detection through advanced medical imaging techniques. It delves into various AI tools, such as machine learning algorithms and deep learning models, that analyze mammograms, ultrasound, and MRI scans with high accuracy, aiding radiologists in identifying abnormalities and predicting malignancy. The paper reviews recent advancements, methodologies, and performance metrics of AI applications in breast cancer diagnostics, highlighting their potential to minimize false positives and negatives, standardize image interpretation, and enhance overall diagnostic quality
Keywords	Artificial Intelligence , Deep Learning , CNN , ANN , RNN , Breast Cancer Detection
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 16, Issue 2, April-June 2025
Published On	2025-04-03
Cite This	Morden AI Tools in Breast Cancer: A Comprehensive Review - Atharav Sachin Nijampurkar, Darshana Namdeo Mugutkar - IJSAT Volume 16, Issue 2, April-June 2025.

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