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Digital Teleretinal Screening
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.
Teleophthalmology
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.
Digital Eye Care and Teleophthalmology
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.
Engineering Mathematics and Artificial Intelligence
The fields of Artificial Intelligence (AI) and Machine Learning (ML) have grown dramatically in recent years, with an increasingly impressive spectrum of successful applications. This book represents a key reference for anybody interested in the intersection between mathematics and AI/ML and provides an overview of the current research streams. Engineering Mathematics and Artificial Intelligence: Foundations, Methods, and Applications discusses the theory behind ML and shows how mathematics can be used in AI. The book illustrates how to improve existing algorithms by using advanced mathematics and offers cutting-edge AI technologies. The book goes on to discuss how ML can support mathematical modeling and how to simulate data by using artificial neural networks. Future integration between ML and complex mathematical techniques is also highlighted within the book. This book is written for researchers, practitioners, engineers, and AI consultants.
Medinfo
A fundamental challenge for medical informatics is to develop and apply better ways of understanding how information technologies and methods can help support the best care for every patient every day given available medical knowledge and resources. In order to provide the most effective healthcare possible, the activities of teams of health professionals have to be coordinated through well-designed processes centered on the needs of patients. For information systems to be accepted and used in such an environment, they must balance standardization based on shared medical knowledge with the flexibility required for customization to the individual patient. Developing innovative approaches to d...
Diabetes Digital Health, Telehealth, and Artificial Intelligence
Diabetes Digital Health, Telehealth, and Artificial Intelligence explains how to develop and use the emerging technologies of digital health, telehealth, and artificial intelligence to address this important public health problem to deliver new hardware, software, and processes. The book explores trends in developing and deploying the three most important emerging technologies for diabetes: digital health, telehealth, and artificial intelligence. This book is essential to clinicians, scientists, engineers, industry professionals, regulators, and investors, offering the tools that will be used to create the next generation products to support a precision medicine approach to manage diabetes. ...
Deep Learning in Science
Rigorous treatment of the theory of deep learning from first principles, with applications to beautiful problems in the natural sciences.
Making Eye Health a Population Health Imperative
The ability to see deeply affects how human beings perceive and interpret the world around them. For most people, eyesight is part of everyday communication, social activities, educational and professional pursuits, the care of others, and the maintenance of personal health, independence, and mobility. Functioning eyes and vision system can reduce an adult's risk of chronic health conditions, death, falls and injuries, social isolation, depression, and other psychological problems. In children, properly maintained eye and vision health contributes to a child's social development, academic achievement, and better health across the lifespan. The public generally recognizes its reliance on sigh...
Machine and Deep Learning Algorithms and Applications
This book introduces basic machine learning concepts and applications for a broad audience that includes students, faculty, and industry practitioners. We begin by describing how machine learning provides capabilities to computers and embedded systems to learn from data. A typical machine learning algorithm involves training, and generally the performance of a machine learning model improves with more training data. Deep learning is a sub-area of machine learning that involves extensive use of layers of artificial neural networks typically trained on massive amounts of data. Machine and deep learning methods are often used in contemporary data science tasks to address the growing data sets a...
