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![Artificial Intelligence in Ophthalmology Cover Image](/image.aspx?imagepath="{0}"&width=175&print=true/notavail3.gif)
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| Available: Yes* |
| This title does not qualify for any discount. |
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| Edition: | 1st |
| Publisher: | Springer Nature |
| ISBN: | 3-030-78601-3 (3030786013) |
| ISBN-13: | 978-3-030-78601-4 (9783030786014) |
| Binding: | E E Book + ProQuest Ebook Central |
| Copyright: | 2021 |
| Publish Date: | 10/21 |
| Weight: | 0.00 Lbs. |
| Subject Class: | OPH (Ophthalmology) |
| Remarks: | A New Edition of this title is due 05/25 |
| Return Policy: | Non-Returnable. |
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| ProQuest Ebook Central�: |
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| Abstract: | 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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* Subject to ProQuest Ebook Central� availability |
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