Titlebook: Artificial Intelligence in Ophthalmology; Andrzej Grzybowski Book 2021 Springer Nature Switzerland AG 2021 Automatic software.Deep learnin

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Artificial Intelligence in Ophthalmology: Promises, Hazards and Challenges, for future medicine. It also presents the increase in published scientific studies using artificial intelligence in medicine in last decade..The regulation frameworks for medical devices, including AI medical devices, in the USA and in the European Union is discussed. Moreover, the problem of acces

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Experimental Artificial Intelligence Systems in Ophthalmology: An Overview,ata for the purposes of disease detection, classification and prediction, as well as surgical screening, training and robotics. Automatic image processing and feature extraction from multimodal sources such as visual fields, optical coherence tomography and fundus photos can be combined with patient

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Artificial Intelligence in Age-Related Macular Degeneration (AMD),classified into early, intermediate, and late stages. In some patients, AMD advances to the late vision-threatening stage slowly; in others, the disease progresses faster and may quickly lead to a loss of vision in one or both eyes. There is, therefore, a critical need to detect AMD severity accurat

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AI and Glaucoma,nlike diabetic retinopathy and age-related macular degeneration where early DL initiatives in ophthalmology focused on, there have been limited but expanding efforts for utilizing DL algorithms to improve diagnosis and management of glaucoma. In this chapter, we provide a summary of current AI appli