Digital retinal imaging performed by primary care providers and nurses, followed by remote image interpretation (teleretinal imaging), is rapidly acquiring a crucial role in many parts of the world as it permits the detection of major diseases, such as diabetic retinopathy and glaucoma, in patients who would otherwise be beyond the reach of a trained ophthalmologist. In this book, experts from around the world describe how digital teleretinal screening can be set up and optimally utilized. Technical issues are discussed, and the appropriate use of screening for different diseases and in different age groups is explained. The major part of the book draws upon the clinical experience of leading practitioners in a wide range of teleretinal applications. The result is a comprehensive source of high-quality information for clinicians and other health professionals who are involved in eye care delivery, so that they can assess how teleretinal screening might be applied to their working practice.

This book explains technical issues, digital imaging, and offers collective experiences of practitioners in different parts of the world practicing a wide range of teleophthalmology applications. It is the first book in ophthalmology covering this hot topic. The book encompasses access to specialist eye care for remote patients. It also covers ophthalmic disease screening, monitoring, diagnosing and management, and sharing of medical resources. The book is highly structured and concise. Ophthalmologists, optometrists, nurses, and primary care providers will find valuable and up-to-date information on how to successfully establish programs in this field.

This book describes digital ophthalmology and telemedicine applications for both front of the eye and retina. It includes technical issues, digital imaging, what clinical parameters to use, which technologies are suitable, and collective experiences of practitioners in different parts of the world practicing a wide range of digital eye care delivery. The main purpose of this book is to provide adequate information to clinicians and other health professionals who are involved in eye care delivery to assess how digital health in ophthalmology might be applied to their working practice, how digital screenings are performed, and to learn about virtual image reading. Many of the chapters are also helpful to health service managers, imaging specialists, and information technology staff. Digital Eye Care and Teleophthalmology: A Practical Guide to Applications examines digital eye care to provide state of art ophthalmic services. It is an essential resource for professionals involved in eye care seeking to develop or improve their digital applications in daily practice.

Around the world, healthcare planners and governments are engaged in activities to stimulate innovation and reform health systems as part of the drive to deliver safe, effective, quality care to patients. ICT is both a critical component of health system innovation and key stimulus for reform. This book presents papers from the 23rd Australian national Health Informatics Conference (HIC 2015), held in Brisbane, Australia, in August 2015. The conference brings together researchers, industry groups and healthcare providers from Australia and around the world to share cutting edge research, technology updates and innovations, and the papers included here provide valuable evidence and information about the diverse role that ICT plays in the health, elderly and community care sectors internationally. They encompass a wide spectrum of work, from major theoretical concepts and examples of key applications of new technologies to important new developments in the field of health informatics. The book represents an important contribution to the health informatics evidence base and will be of interest to all those working towards better healthcare provision worldwide.

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.

This book provides an up-to-date overview of the clinical applications, methods, and technologies of teleophthalmology within the field of preventive medicine. The ability of novel methods to detect the initial signs of neurodegenerative diseases on the basis of alterations in the retina is reviewed, and detailed attention is paid to the role of teleophthalmology in screening for vision-threatening diseases such as diabetic retinopathy, glaucoma, and age-related macular degeneration. A major part of the book is devoted to novel imaging methods and the latest information technologies, including advanced mobile communication and Web 2.0 applications in teleophthalmology. In addition, the initial projects of an interdisciplinary cooperation in preventive medicine are described. All of the authors are experienced in the scientific and practical aspects of teleophthalmology, including e-learning, and have produced a book that will meet the needs of all medical care providers interested in using teleophthalmology.

Digital fundus images can effectively diagnose glaucoma and diabetes retinopathy, while infrared imaging can show changes in the vascular tissues. Likening the eye to the conventional camera, Image Analysis and Modeling in Ophthalmology explores the application of advanced image processing in ocular imaging. This book considers how images can be used to effectively diagnose ophthalmologic problems. It introduces multi-modality image processing algorithms as a means for analyzing subtle changes in the eye. It details eye imaging, textural imaging, and modeling, and highlights specific imaging and modeling techniques. The book covers the detection of diabetes retinopathy, glaucoma, anterior segment eye abnormalities, instruments on detection of glaucoma, and development of human eye models using computational fluid dynamics and heat transfer principles to predict inner temperatures of the eye from its surface temperature. It presents an ultrasound biomicroscopy (UBM) system for anterior chamber angle imaging and proposes an automated anterior segment eye disease classification system that can be used for early disease diagnosis and treatment management. It focuses on the segmentation of the blood vessels in high-resolution retinal images and describes the integration of the image processing methodologies in a web-based framework aimed at retinal analysis. The authors introduce the A-Levelset algorithm, explore the ARGALI system to calculate the cup-to-disc ratio (CDR), and describe the Singapore Eye Vessel Assessment (SIVA) system, a holistic tool which brings together various technologies from image processing and artificial intelligence to construct vascular models from retinal images. The text furnishes the working principles of mechanical and optical instruments for the diagnosis and healthcare administration of glaucoma, reviews state-of-the-art CDR calculation detail, and discusses the existing methods and databases. Image Analysis and Modeling in Ophthalmology includes the latest research development in the field of eye modeling and the multi-modality image processing techniques in ocular imaging. It addresses the differences, performance measures, advantages and disadvantages of various approaches, and provides extensive reviews on related fields.

This book addresses two general questions that have arisen as a result of the uneven rise of the various Asian economies in contemporary times. First, to lift people out of poverty and to improve the quality of their lives, how do we institute policies that will ensure economic growth in the different regions of Asia? Second, what can we do to ensure that the economic growth we seek is sustainable so that the regional economic development that emerges is broad-based, inclusive, and environmentally conscious? Specifically, this edited book will provide a unified perspective on regional growth and sustainable development in Asia by focusing on the above two broad questions. The book will emphasize dynamic modeling and it will illustrate the role that sound theoretical and empirical modeling of an intertemporal nature can play in shedding light on salient public policy questions concerning regional growth and sustainable development. The specific topics to be addressed in this book include growth accounting, natural resource use and management, the regulation of environmental externalities, geographic information systems, and regional climate change. The individual chapters in this book will be written by international experts who are also active researchers in their respective fields. Therefore, this book is highly recommended to all readers who seek an in-depth and up-to-date perspective on some of the most salient issues at the interface of regional growth and sustainable development in Asia.

There is a changed emphasis in many health services, with conventional pressures such as budget and workforce constraints, combined with the indirect forces of social change and strategic direction, bringing about the need for more flexible approaches for the longer term. By enabling different care models and delivery channels, telehealth offers demonstrably effective and sustainable solutions for issues such as access to and quality of care. This book presents 18 papers delivered at the 5th Global Telehealth Conference, held in Auckland, New Zealand, in November 2016. The theme chosen for Global Telehealth 2016 is 'The Promise of New Technologies in an Age of New Health Challenges', and the papers included here cover a wide variety of topics, from theoretical and abstract contributions through to discussions of practical projects and highly specific applied contributions. The book also includes two invited papers which detail recent contributions to two global issues in which telehealth plays a major role: universal health coverage and personal health monitoring. With papers ranging in scope from computer assisted screening technology for diabetic retinopathy to behavior change through computer games, this book will be of interest to all those involved in the design and provision of healthcare services.

This book constitutes the refereed proceedings of the 16th Australasian Conference on Data Mining, AusDM 2018, held in Bathurst, NSW, Australia, in November 2018. The 27 revised full papers presented together with 3 short papers were carefully reviewed and selected from 80 submissions. The papers are organized in topical sections on classification task; transport, environment, and energy; applied data mining; privacy and clustering; statistics in data science; health, software and smartphone; image data mining; industry showcase.