Artificial Intelligence in Medical Imaging: From Theory to Clinical Practice

Medical imaging is a critical component of modern healthcare, enabling the visualization of the internal structures of the body for clinical analysis and medical intervention. Artificial Intelligence (AI) in medical imaging is revolutionizing healthcare by enhancing diagnostic accuracy and efficiency. AI algorithms, particularly deep learning, can analyze vast amounts of imaging data, identifying patterns and anomalies that might be missed by the human eye. This capability is invaluable in detecting diseases such as cancer, cardiovascular conditions, and neurological disorders at early stages. AI-driven tools can assist radiologists by automating routine tasks, improving image quality, and providing real-time diagnostic suggestions. Moreover, AI facilitates personalized treatment plans by integrating imaging data with patient history. Advances in imaging technology have significantly improved diagnostic accuracy, treatment planning, and patient outcomes. Additionally, innovations like 3D imaging and AI-enhanced image analysis are pushing the boundaries, enabling more precise and personalized medical care. This book provides significant information of this discipline to help develop a good understanding of medical imaging techniques. It will also provide interesting topics for research which interested readers can take up. Coherent flow of topics, student-friendly language and extensive use of examples make this book an invaluable source of knowledge.