國立高雄大學圖資館 |

Language: English

Back

Artificial intelligence in ophthalmology

Grzybowski, Andrzej.

Artificial intelligence in ophthalmology

Record Type:	Electronic resources : Monograph/item
Title/Author:	Artificial intelligence in ophthalmologyedited by Andrzej Grzybowski.
other author:	Grzybowski, Andrzej.
Published:	Cham :Springer International Publishing :2021.
Description:	vi, 286 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	OphthalmologyData processing.
Online resource:	https://doi.org/10.1007/978-3-030-78601-4
ISBN:	9783030786014$q(electronic bk.)

Artificial intelligence in ophthalmology
Artificial intelligence in ophthalmology[electronic resource] /edited by Andrzej Grzybowski. - Cham :Springer International Publishing :2021. - vi, 286 p. :ill., digital ;24 cm.

Artificial 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.

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.

ISBN: 9783030786014$q(electronic bk.)

Standard No.: 10.1007/978-3-030-78601-4doiSubjects--Topical Terms:

575287
Ophthalmology
--Data processing.

LC Class. No.: RE73 / .A77 2021

Dewey Class. No.: 617.70028563

Artificial intelligence in ophthalmology
LDR:02735nmm a2200325 a 4500 001 610781
003 DE-He213
005 20211013165222.0
006 m d
007 cr nn 008maaau
008 220330s2021 sz s 0 eng d
020 $a 9783030786014$q(electronic bk.)
020 $a 9783030786007$q(paper)
024 7 $a 10.1007/978-3-030-78601-4 $2 doi
035 $a 978-3-030-78601-4
040 $a GP $c GP
041 0 $a eng
050 4 $a RE73 $b .A77 2021
072 7 $a MJQ $2 bicssc
072 7 $a MED063000 $2 bisacsh
072 7 $a MJQ $2 thema
082 0 4 $a 617.70028563 $2 23
090 $a RE73 $b .A791 2021
245 0 0 $a Artificial intelligence in ophthalmology $h [electronic resource] / $c edited by Andrzej Grzybowski.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a vi, 286 p. : $b ill., digital ; $c 24 cm.
505 0 $a Artificial 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 $a 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.
650 0 $a Ophthalmology $x Data processing. $3 575287
650 0 $a Artificial intelligence $x Medical applications. $3 237917
650 1 4 $a Ophthalmology. $3 274149
650 2 4 $a Artificial Intelligence. $3 212515
700 1 $a Grzybowski, Andrzej. $3 742251
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-030-78601-4
950 $a Medicine (SpringerNature-11650)