AI for Radiology

ISBN-13: 9780367627256 / Miękka / 2024 / 166 str.

USA) Marques Boca Raton Oge (Florida Atlantic University

Opis

Artificial 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.

Recenzje

“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

Spis treści

Contents:

Preface
1. The Big Picture
2. AI in Radiology: From Fear to Leadership
3. Fundamentals of ML and DL
4. Fundamentals of Medical Image Analysis
5. Data: The Essential Ingredient
6. Clinical Applications of AI in Radiology
7. Harnessing AI in Radiology Education & Training
8. Getting Started with Deep Learning
9. The Future of AI in Radiology
10. Resources for Further Learning

O autorze

Oge Marques, PhD is a Professor of Computer Science and Engineering in the College of Engineering and Computer Science, a Professor of Biomedical Science (Secondary) in the Charles E. Schmidt College of Medicine, and a Professor of Information Technology (by courtesy), in the College of Business at Florida Atlantic University (FAU) (Boca Raton, FL). 

 

He is the author of 12 technical books, one patent, and more than 130 refereed scientific articles on image processing, medical image analysis, computer vision, artificial intelligence, and machine learning.

 

Dr. Marques is a Senior Member of both the IEEE (Institute of Electrical and Electronics Engineers) and the ACM (Association for Computing Machinery), Fellow of the NIH AIM-AHEAD Consortium, Fellow of the Leshner Leadership Institute of the American Association for the Advancement of Science (AAAS), Tau Beta Pi Eminent Engineer, and member of the honor societies of Sigma Xi, Phi Kappa Phi, and Upsilon Pi Epsilon.