Description
Book SynopsisArtificial Intelligence has revolutionised areas of medicine. This book focuses on the integral role of AI in radiology, shedding light on how this technology can enhance patient care and streamline professional workflows.
Trade Review“The book is not just about the present state of affairs. It offers a vision, exploring the future trajectories of AI in radiology, addressing challenges, controversies, and the endless possibilities on the horizon.
Having witnessed Oge’s dedication and forward-thinking approach firsthand, I am confident that this book will serve as an invaluable resource. For those stepping into the realm of AI in radiology or seeking to deepen their knowledge, this book provides a holistic, scientifically rigorous, and practical guide…I wholeheartedly believe that it will stand as a cornerstone for all enthusiasts eager to delve into the world of AI in Radiology.”
--Felipe Kitamura, MD, PhD
Director of Applied Innovation and AI at Dasa
Affiliated Professor of Radiology at Universidade Federal de São Paulo
Table of Contents1 Artificial Intelligence and Medicine: The Big Picture
2 AI in Radiology: From Fear to Leadership
3 Fundamentals of Machine Learning and Deep Learning
4 Fundamentals of Medical Image Analysis
5 Data: The Essential Ingredient in AI Solutions
6 Clinical Applications of AI in Radiology
7 Harnessing AI in Radiology Education and Training
8 Getting Started with Deep Learning in Medical Imaging
9 The Future of AI in Radiology
10 Resources for Further Learning
