Breast Cancer

Artificial Intelligence in Breast Imaging

The integration of Artificial Intelligence (AI) into breast imaging represents a transformative advancement in the early diagnosis, risk assessment, and management of breast cancer. As the field continues to evolve, AI technologies are increasingly proving to be invaluable tools for radiologists and clinicians, enhancing accuracy, reducing diagnostic errors, and optimizing workflows. AI, particularly machine learning (ML) and deep learning (DL) algorithms, have shown exceptional capabilities in analyzing mammograms, ultrasound images, and magnetic resonance imaging (MRI) scans with high levels of precision. These tools are now being used to automatically detect abnormalities, such as masses, calcifications, and architectural distortions, which may be early signs of breast cancer. One of the key advantages of AI is its ability to rapidly process vast datasets, enabling more consistent interpretation and supporting radiologists in making timely and informed decisions. These models learn from patterns in medical images to identify suspicious features with increasing sensitivity and specificity