医学影像技术中的人工智能
This book covers the principles, concepts, and applications of artificial intelligence in medical imaging technologies, specifically in the context of diagnostic imaging, such as radiography and radiological technology. First, artificial intelligence and its subsets machine learning and deep learning are described followed by a discussion of applications of these AI principles in medical imaging technologies. Finally, ethical questions, regulatory aspects, and future trends and challenges are also reviewed in this textbook. This book is intended for both students and practitioners in radiological technology, radiography, radiation therapy, nuclear medicine technology, diagnostic medical sonography, and biomedical engineering technology. Furthermore, residents in radiology, and medical physics students and related healthcare personnel (administrators and managers for example) may find this book useful.
这本书涵盖了人工智能在医学成像技术中的原则、概念和应用,特别是诊断成像领域,如放射摄影和放射学技术。首先描述了人工智能及其子集机器学习和深度学习,然后讨论这些AI原则在医学成像技术中的应用。最后,还回顾了该教科书中的伦理问题、监管方面、未来趋势和挑战。 这本书既适用于放射学技术、放射摄影、放疗、核医学技术、诊断超声技术和生物医学工程技术的学生和从业者。此外,放射科住院医师以及医学物理学生和其他相关医疗人员(如管理员和管理者)可能会发现这本书有用。
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