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008			211013s2021 sz a s |||| 0|eng d
020			_a9783030786014
024	7		_a10.1007/978-3-030-78601-4 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aRE73 _b2021 EB
245	0	0	_aArtificial Intelligence in Ophthalmology _cedited by Andrzej Grzybowski
250			_aFirst edition 2021
264		1	_aCham _bSpringer International Publishing _c2021
264		4	_c2021
300			_a1 recurso en línea (VI, 286 páginas) _b108 ilustraciones, 99 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aArchivo de texto _bPDF
505	0		_aArtificial intelligence in Medicine -- Artificial intelligence in AMD -- Artificial intelligence in Glaucoma -- Artificial intelligence in Retinopathy of Prematurity -- Artificial intelligence in Diabetic Retinopathy Screening -- The overview of available artificial intelligence systems in Ophthalmology -- The overview of experimental artificial intelligence systems in Ophthalmology -- Technical aspects of deep learning in Ophthalmology -- Deep learning systems for retinal diseases -- Google DeepMind -- Singapore algorithm -- Johns Hopkins algorithm -- Perspectives of artificial intelligence in Ophthalmology -- Limitations of artificial intelligence in Ophthalmology -- Artificial intelligence in calculating the IOL power.
520			_aThis 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.
988			_aSpringer_Medicine_2021
650		7	_2embne _aOftalmología _9139186
650		7	_2embne _aInteligencia artificial _9413115
700	1		_aGrzybowski, Andrzej _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _997632
776	0	8	_iPrinted edition: _z9783030786007
776	0	8	_iPrinted edition: _z9783030786021
776	0	8	_iPrinted edition: _z9783030786038
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-78601-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2022 _dz _ek _zSI