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Artificial Intelligence in Medical Imaging
This book provides a thorough overview of the ongoing evolution in the application of artificial intelligence (AI) within healthcare and radiology, enabling readers to gain a deeper insight into the technological background of AI and the impacts of new and emerging technologies on medical imaging. After an introduction on game changers in radiology, such as deep learning technology, the technological evolution of AI in computing science and medical image computing is described, with explanation of basic principles and the types and subtypes of AI. Subsequent sections address the use of imaging biomarkers, the development and validation of AI applications, and various aspects and issues relat...
Contracts for Infrastructure Projects
Contracts for Infrastructure Projects: An International Guide provides a guide to the law relating to construction contracts for infrastructure projects; it is intended for the use of engineers and other professionals who are involved in the negotiation and administration of construction contracts, to enable them to understand the risks involved, and how to minimise them. The principles of construction law outlined in this book apply to small construction contracts as well as very large contracts for which the contract sum may be in the billions of dollars. The focus of the book is on construction contracts entered into by commercial organisations operating in a business environment. Contrac...
Introduction to Artificial Intelligence
This book aims to provide physicians and scientists with the basics of Artificial Intelligence (AI) with a special focus on medical imaging. The contents of the book provide an introduction to the main topics of artificial intelligence currently applied on medical image analysis. The book starts with a chapter explaining the basic terms used in artificial intelligence for novice readers and embarks on a series of chapters each one of which provides the basics on one AI-related topic. The second chapter presents the programming languages and available automated tools that enable the development of AI applications for medical imaging. The third chapter endeavours to analyse the main traditiona...
Basic Knowledge of Medical Imaging Informatics
This book provides a unique introduction to the vast field of Medical Imaging Informatics for students and physicians by depicting the basics of the different areas in Radiology Informatics. It features short chapters on the different main areas in Medical Imaging Informatics, such as Picture Archiving and Communication Systems (PACS), radiology reporting, data sharing, and de-identification and anonymization, as well as standards like Digital Imaging and Communications in Medicine (DICOM), Integrating the Health Enterprise (IHE) and Health Level 7 (HL7,. Written by experts in the respective fields and endorsed by the European Society of Medical Imaging Informatics (EuSoMII) the scope of the book is based on the Medical Imaging Informatics sub-sections of the European Society of Radiology (ESR) European Training Curriculum Undergraduate Level and Level I. This volume will be an invaluable resource for residents and radiologists and is also specifically suited for undergraduate training.
Structured Reporting in Radiology
This book provides practitioners and scientists with insights into diverse aspects of structured reporting to allow them to develop tools and a knowledge base to ensure that this electronic reporting trend is widely applied. After an introduction to reporting in radiology, various parts of structured reporting are discussed in detail, including an overview of standardized reporting systems, standardized reporting language, DICOM structured reporting, template based structured reporting, and modular reporting. The last chapter addresses the interaction of structured reporting with artificial intelligence and its impact on the future of radiology. The last chapter addresses the interaction of structured reporting with artificial intelligence and its impact on the future of radiology. Endorsed by the European Society of Medical Imaging Informatics (EuSoMII), the scope of the book is based on the Medical Imaging Informatics sub-sections of the European Society of Radiology (ESR) European Training Curriculum Level I and II. It is a valuable resource for residents, radiologists and students.
Quality and Safety in Imaging
This book provides a roadmap for optimizing quality and safety within radiology practices, whether academic or private and irrespective of their national setting. All aspects of the radiology workflow are addressed, from imaging appropriateness, examination scheduling, and patient preparation through to imaging protocol optimization (including radiation dose management), modality operations, reporting (including structured reporting), and report communication. The book highlights innovative IT tools, including clinical decision support, that drive compliance with national best practice standards and guidelines. The use of big data tools to manage and enhance clinical delivery is addressed. Finally, metrics designed to measure the value that radiology brings to patient care and patient outcomes are introduced. Readers wishing to deepen their understanding of contemporary best practices regarding quality and safety will find this book to be a rich source of practical information.
Practical Imaging Informatics
This new edition is a comprehensive source of imaging informatics fundamentals and how those fundamentals are applied in everyday practice. Imaging Informatics Professionals (IIPs) play a critical role in healthcare, and the scope of the profession has grown far beyond the boundaries of the PACS. A successful IIP must understand the PACS itself and all the software systems networked together in the medical environment. Additionally, an IIP must know the workflows of all the imaging team members, have a base in several medical specialties and be fully capable in the realm of information technology. Practical Imaging Informatics has been reorganized to follow a logical progression from basic b...
Artificial Intelligence in Ophthalmology
This book provides a wide-ranging overview of artificial intelligence (AI), machine learning (ML) and deep learning (DL) algorithms in ophthalmology. Expertly written chapters examine AI in age-related macular degeneration, glaucoma, retinopathy of prematurity and diabetic retinopathy screening. AI perspectives, systems and limitations are all carefully assessed throughout the book as well as the technical aspects of DL systems for retinal diseases including the application of Google DeepMind, the Singapore algorithm, and the Johns Hopkins algorithm. Artificial Intelligence in Ophthalmology meets the need for a resource that reviews the benefits and pitfalls of AI, ML and DL in ophthalmology. Ophthalmologists, optometrists, eye-care workers, neurologists, cardiologists, internal medicine specialists, AI engineers and IT specialists with an interest in how AI can help with early diagnosis and monitoring treatment in ophthalmic patients will find this book to be an indispensable guide to an evolving area of healthcare technology.
