Integration of Artificial Intelligence in Medical Imaging for Breast Cancer Detection and Diagnosis

Abstract

This paper explores the role of artificial intelligence (AI) in medical imaging for breast cancer detection and diagnosis. AI algorithms have shown promising results in improving the accuracy and efficiency of breast cancer diagnosis and detection. This paper discusses various AI techniques used in medical imaging, such as convolutional neural networks (CNNs) and deep learning methods. It also examines the challenges involved in applying AI to medical imaging, such as data quality and ethical concerns. The paper concludes that AI has the potential to revolutionize breast cancer detection and diagnosis, but further research is needed to ensure its safe and effective implementation in medical practice.