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- W3159664358 abstract "Glaucoma is a group of optic neuropathies characterized by progressive degeneration of the optic nerve with loss of retinal ganglion cells, resulting in irreversible visual field loss. Currently there is no cure for glaucoma, but successful intraocular pressure control can halt or significantly slow the progression of glaucoma, most effectively if the disease is detected at an early stage. Recent advances in artificial intelligence (AI), especially the advent of deep learning, have shown transformative impact on the healthcare industry. AI has shown potential roles in glaucoma, such as detection of signs of glaucomatous damage, assistance in the clinical diagnosis, and evaluation of disease prognosis. In this chapter, we will first provide an overview of the application of AI in glaucoma with a focus on the deep learning models, and then discuss the clinical and technical challenges of current AI systems. Although the challenges are undeniable, further research will likely accelerate emergence of effective AI-based systems for glaucoma in clinical practice." @default.
- W3159664358 created "2021-05-10" @default.
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- W3159664358 date "2021-01-01" @default.
- W3159664358 modified "2023-10-16" @default.
- W3159664358 title "Artificial Intelligence and Glaucoma" @default.
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- W3159664358 doi "https://doi.org/10.1007/978-981-16-0634-2_6" @default.
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