AI for Radiology

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.

人工智慧（AI）已經在醫學的許多領域引起了革命性的變革，並且越來越受到接受。本書專注於AI在放射學中的重要角色，闡明了這項技術如何提升患者護理水平並優化專業工作流程。

本書回顧、解釋並將人工智慧和深度學習在放射學和醫學影像分析中的最新、實用和相關發展放入背景中。《AI for Radiology》提供了一個平衡的觀點，強調AI在這些領域的影響，並強調AI技術並非旨在取代放射科醫師，而是增強其能力，使專業人員能夠專注於更複雜的案例。本書將讀者從AI的基本原理引導到其在放射學中的實際應用，從AI中的數據角色一直到在放射學中使用AI的道德和法規考慮，最後提供了一些進一步探索的資源。

本書的撰寫考慮到了多樣化的讀者群體。對於渴望與AI發展保持最新的醫學專業人士、對AI的臨床應用感興趣的計算機科學家以及對醫療保健和技術交叉領域感興趣的任何人來說，這本書都是一個寶貴的資源。

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

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. He is a senior member of both the Institute of Electrical and Electronics Engineers and the Association for Computing Machinery, Fellow of the National Institutes of Health AIM-AHEAD Consortium, Fellow of the Leshner Leadership Institute of the American Association for the Advancement of Science, Tau Beta Pi Eminent Engineer, and member of the honor societies of Sigma Xi, Phi Kappa Phi, and Upsilon Pi Epsilon.

Oge Marques博士是佛羅里達大西洋大學（美國佛羅里達州博卡拉頓）工程與計算機科學學院的計算機科學和工程教授，醫學院的生物醫學科學（次要）教授，以及商學院的資訊技術（榮譽）教授。

他是12本技術書籍、一項專利和超過130篇經過同行評審的科學文章的作者，這些文章涵蓋了影像處理、醫學影像分析、計算機視覺、人工智慧和機器學習等領域。他是電機電子工程師學會和計算機協會的高級會員，美國國家衛生研究院AIM-AHEAD聯盟的成員，美國科學促進協會Leshner領導力學院的會士，Tau Beta Pi傑出工程師，以及Sigma Xi、Phi Kappa Phi和Upsilon Pi Epsilon等榮譽學會的成員。