AI for Radiology

Name: AI for Radiology
Brand: Taylor & Francis Ltd
Price: 246.75 AUD
Availability: BackOrder

By: Oge Marques

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Hardcover | 12 February 2024 | Edition Number 1

At a Glance

Hardcover
214 Pages

Dimensions(cm)
19.8 x 12.9 x 1.9

Hardcover

RRP $284.00

$246.75

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Available for Backorder. We will order this from our supplier however there isn't a current ETA.

Artificial Intelligence (AI) has revolutionised many areas of medicine and is increasingly being embraced. 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.

This book reviews, explains and contextualizes some of the most current, practical, and relevant developments in artificial intelligence and deep learning in radiology and medical image analysis. 'AI for Radiology' presents a balanced viewpoint of the impact of AI in these fields, underscoring that AI technologies are not intended to replace radiologists but rather to augment their capabilities, freeing up professionals to focus on more complex cases. This book guides readers from the basic principles of AI to their practical applications in radiology, moving from the role of data in AI right through to the ethical and regulatory considerations of using AI in radiology and concluding with a selection of resources for further exploration.

This book has been crafted with a diverse readership in mind. It is a valuable asset for medical professionals eager to stay up-to-date with AI developments, computer scientists curious about AI's clinical applications, and anyone interested in the intersection of healthcare and technology.

Industry Reviews

"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 Sao Paulo

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