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Proceedings of SPIE present the original research papers presented at SPIE conferences and other high-quality conferences in the broad-ranging fields of optics and photonics. These books provide prompt access to the latest innovations in research and technology in their respective fields. Proceedings of SPIE are among the most cited references in patent literature.
First multi-year cumulation covers six years: 1965-70.
Developments in lasers continue to enable progress in many areas such as eye surgery, the recording industry and dozens of others. This book presents citations from the book literature for the last 25 years and groups them for ease of access which is also provided by subject, author and titles indexes.
This volume focuses on games to manage and facilitate rehabilitation. It emphasizes user practice, attitudes, and experience, and their changing place within developing rehabilitation frameworks. It looks at how users have adopted, integrated, and innovated with games to facilitate rehabilitation. Topics include game technology, game design and accessibility, web-based technologies vs pervasive and mobile technologies, social and collaborative aspects, and rehabilitative outcome. Games for rehabilitation are gaining interest from different communities such as medicine, psychology, and rehabilitation. A distinction can be made between games specifically made for rehabilitative purposes and games made for the general public but that are used in rehabilitation as well. Games have allowed the building of new/complementary forms for rehabilitation and offered new options to produce rehabilitative activities and experiences.
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.