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Breast cancer remains one of the most significant health challenges worldwide, requiring continuous advancements in early detection, diagnosis, and prognosis. With the rapid evolution of artificial intelligence (AI), the landscape of breast cancer management has been transformed, offering unprecedented improvements in accuracy, efficiency, and personalized care. The Future of Artificial Intelligence in Breast Cancer Diagnosis and Prognosis: Trends, Innovations, and Breakthroughs explores the cutting-edge role of AI in revolutionizing breast cancer detection, treatment, and patient outcomes.This book delves into the fundamental principles of AI, machine learning, and deep learning as applied to oncology. It examines the integration of AI with medical imaging techniques such as mammography, ultrasound, and MRI, along with its applications in histopathological analysis, liquid biopsy, and biomarker discovery. Special emphasis is placed on AI-driven prognostic models, radiomics, and precision medicine, highlighting how AI enhances risk stratification, treatment response prediction, and personalized therapy selection.A crucial aspect of this book is its discussion on the ethical, regulatory, and practical challenges of AI adoption in healthcare. Issues such as bias in AI algorithms, data privacy, security concerns, and compliance with global regulatory frameworks are explored in depth. Additionally, the book sheds light on the future trajectory of AI in breast cancer research, including emerging technologies such as federated learning, quantum computing, and AI-driven clinical trials.Written by Dr. Ashok Kumar Dogra, PhD in Biochemistry, this book serves as a comprehensive resource for oncologists, radiologists, medical researchers, data scientists, and healthcare policymakers. By bridging the gap between AI innovation and clinical application, it aims to equip professionals with the knowledge to leverage AI for improved breast cancer care.As we stand at the forefront of a technological revolution in oncology, this book seeks to inspire further advancements, ensuring AI continues to drive transformative breakthroughs in breast cancer diagnosis and prognosis. I hope that this work will contribute to the ongoing efforts to enhance patient outcomes and shape the future of AI-driven healthcare.