Diabetic Retinopathy: Screening to Treatment 2E (ODL)


Book Description

Diabetic Retinopathy, second edition, offers a practical, clinically focused guide to Diabetic Retinopathy (DR). Featuring 20 concise chapters, this pocketbook is an invaluable companion to those involved in screening and treating DR.




Diabetic Retinopathy: Screening to Treatment


Book Description

Diabetes mellitus is one of the leading causes of blindness worldwide, with diabetic retinopathy (DR) remaining the most common cause of eye disease for people with diabetes. Current guidelines state that all patients with diabetes should be screened for retinal problems. Diabetic Retinopathy, second edition, offers a practical, clinically focused guide to DR. Featuring 20 concise chapters this resource covers the basics of diabetes mellitus and ocular anatomy, why screening is required, the epidemiology and nature of diabetic retinopathy, as well as associated ocular diseases. It has been fully updated to include the latest trial data and newest developments in the management of diabetic retinopathy, as well as three new chapters covering patients of concern, imaging techniques in diabetic retinopathy, and an overview of treatment strategies for diabetic eye disease. Part of the Oxford Diabetes Library series, this pocketbook is a concise companion for professionals involved in screening and treating diabetic retinopathy.




Handbook of Retinal Screening in Diabetes


Book Description

This book, a successor to the highly popular Practical Guide toPolaroid Retinal Photography, describes the essentialcomponents of a retinopathy screening programme, including thecriteria for referral to an ophthalmologist, drawing upon theexperience of the Newcastle system over the last two decades andthe National Screening Committee Report upon Eye screening. It isfully illustrated, featuring a new set of 50 digital colourphotographs, showing the normal retina and problems associated withdiabetes, with explanatory text. "[T]he first concise textbook on retinal screening... wellstructured and written... provide[s] excellent background readingto those entering the new profession of retinal screening."PRACTICAL DIABETES INTERNATIONAL




Handbook of Retinal Screening in Diabetes


Book Description

Beginning with chapters summarizing the basics of diabetic retinopathy, this updated volume outlines the need for screening, how to screen safely and correctly, and the normal condition of the retina without diabetic retinopathy, all using excellent line and halftone illustrations. The core focus then moves on to examining each different form of retinopathy, all supported by outstanding color retinal photographs illustrating the appearance of the retina at various stages of retinopathy, plus an analysis on the best treatment for each stage. The book ends with chapters providing self-assessment questions of the type that screeners will encounter when gaining their now mandatory retinal screening qualifications, as well as a background information chapter offering advice on related UK, European, and US organizations. A website contains all the full-color retinopathy images from the book, with the option to download these into presentations.




Diabetic Retinopathy


Book Description

Each chapter is written by a specialist with a specific role in a diabetic retinopathy screening scheme.This book is presented in full colour and contains over 100 images.




Artificial Intelligence in Ophthalmology


Book Description

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.




Prevention of Blindness from Diabetes Mellitus


Book Description

Diabetes mellitus is an important public health problem worldwide, and more than 75% of patients who have had diabetes mellitus for more than 20 years will have some sort of retinopathy. Diabetic retinopathy correlates with the duration of diabetes; thus with increasing life expectancy, diabetic retinopathy and the ensuing blindness will tend to increase. In view of the increasing prevalence of diabetes mellitus and diabetic retinopathy throughout most of the world, a consultation on prevention of blindness from diabetes mellitus was convened by the World Health Organization to review the current status of diabetic retinopathy care and to define approaches to screening, early detection and management in populations in different settings. This publication reports on the findings of the consultation and provides recommendations and guidelines for the prevention and care of blindness from diabetes mellitus.




Management of Diabetic Retinopathy


Book Description

Recently developed diagnostic and therapeutic technologies such as OCT-angiography and small gauge vitrectomy have influenced the modern treatment of diabetic retinopathy. This volume provides a summary of the state-of-the-art evidence-based approach to managing complications that may occur with diabetic retinopathy. It offers the latest information on pathogenesis and diagnosis, and highly experienced clinicians review the results of relevant randomized clinical trials that serve as the basis of current therapy. The book provides not only a summary of data from randomized trials but also an analysis and interpretation by internationally renowned experts. Ophthalmology residents, fellows, and practicing clinicians will find this book to be a useful reference when seeking evidence-based treatment strategies for various complications of diabetic retinopathy. It is also for researchers identifying new avenues of drug developments and for insurance professionals and health care policy administrators who are establishing evidence-based therapy guidelines for therapeutic intervention.




Approaches and Applications of Deep Learning in Virtual Medical Care


Book Description

The recent advancements in the machine learning paradigm have various applications, specifically in the field of medical data analysis. Research has proven the high accuracy of deep learning algorithms, and they have become a standard choice for analyzing medical data, especially medical images, video, and electronic health records. Deep learning methods applied to electronic health records are contributing to understanding the evolution of chronic diseases and predicting the risk of developing those diseases. Approaches and Applications of Deep Learning in Virtual Medical Care considers the applications of deep learning in virtual medical care and delves into complex deep learning algorithms, calibrates models, and improves the predictions of the trained model on medical imaging. Covering topics such as big data and medical sensors, this critical reference source is ideal for researchers, academicians, practitioners, industry professionals, hospital workers, scholars, instructors, and students.




Automated Image Detection of Retinal Pathology


Book Description

Discusses the Effect of Automated Assessment Programs on Health Care ProvisionDiabetes is approaching pandemic numbers, and as an associated complication, diabetic retinopathy is also on the rise. Much about the computer-based diagnosis of this intricate illness has been discovered and proven effective in research labs. But, unfortunately, many of