Morden AI Tools in Breast Cancer: A Comprehensive Review

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