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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.
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The Polish-Lithuanian Commonwealth (1569–1795) was once the largest country in Europe—a multicultural republic that was home to Belarusians, Germans, Jews, Lithuanians, Poles, Ruthenians, Tatars, Ukrainians, and other ethnic and religious groups. Although long since dissolved, the Commonwealth remains a rich resource for mythmakingin its descendent modern-day states, but also a source of contention between those with different understandings of its history.Multicultural Commonwealth brings together the expertise of world-renowned scholars in a range of disciplines to present perspectives on both the Commonwealth’s historical diversity and the memory of this diversity. With cutting-edge research on the intermeshed histories and memories of different ethnic and religious groups of the Commonwealth, this volume asks how various contemporary conceptions of multiculturalism can be applied to the region through a critical lens that also seeks to understand the past on its own terms.