LEADER 03328nam 22005415 450 001 9910502588803321 005 20251113203537.0 010 $a3-030-78601-3 024 7 $a10.1007/978-3-030-78601-4 035 $a(CKB)5100000000044198 035 $a(MiAaPQ)EBC6768767 035 $a(Au-PeEL)EBL6768767 035 $a(OCoLC)1276848437 035 $a(PPN)258301732 035 $a(DE-He213)978-3-030-78601-4 035 $a(EXLCZ)995100000000044198 100 $a20211013d2021 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aArtificial Intelligence in Ophthalmology /$fedited by Andrzej Grzybowski 205 $a1st ed. 2021. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2021. 215 $a1 online resource (280 pages) 225 1 $aMedicine Series 311 08$a3-030-78600-5 327 $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. . 330 $aThis book provides a wide-ranging overview of artificial intelligence (AI), machine learning (ML) and deep learning (DL) algorithms in ophthalmology. Expertly written chapters examine AI in age-related macular degeneration, glaucoma, retinopathy of prematurity and diabetic retinopathy screening. AI perspectives, systems and limitations are all carefully assessed throughout the book as well as the technical aspects of DL systems for retinal diseases including the application of Google DeepMind, the Singapore algorithm, and the Johns Hopkins algorithm. Artificial Intelligence in Ophthalmology meets the need for a resource that reviews the benefits and pitfalls of AI, ML and DL in ophthalmology. Ophthalmologists, optometrists, eye-care workers, neurologists, cardiologists, internal medicine specialists, AI engineers and IT specialists with an interest in how AI can help with early diagnosis and monitoring treatment in ophthalmic patients will find this book to be an indispensable guide to an evolving area of healthcare technology. 410 0$aMedicine Series 606 $aOphthalmology 606 $aArtificial intelligence 606 $aOphthalmology 606 $aArtificial Intelligence 615 0$aOphthalmology. 615 0$aArtificial intelligence. 615 14$aOphthalmology. 615 24$aArtificial Intelligence. 676 $a617.700285 702 $aGrzybowski$b Andrzej$f1968- 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910502588803321 996 $aArtificial intelligence in ophthalmology$92898436 997 $aUNINA