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Artificial intelligence in age-related macular degeneration: Advancing diagnosis, prognosis, and treatment.

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第一作者： Euna,Lee

第一单位： University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA. Electronic address: euna.lee@umassmed.edu.

作者： Euna,Lee ^[1] ; David,Hunt ^[2] ; Yavuz,Cakir ^[3] ; David,Kuo ^[4] ; Ziqi,Zhou ^[5] ; Miroslav,Pajic ^[6] ; Majda,Hadziahmetovic ^[7]

作者单位： University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA. Electronic address: euna.lee@umassmed.edu. ^[1] Department of Electrical and Computer Engineering, Duke University, Durham, North Carolina, USA. Electronic address: david.hunt@duke.edu. ^[2] Department of Ophthalmology, Duke University, Durham, North Carolina, USA. Electronic address: mdyavuzcakir@gmail.com. ^[3] Department of Ophthalmology, Duke University, Durham, North Carolina, USA. Electronic address: david.kuo@duke.edu. ^[4] Department of Electrical and Computer Engineering, Duke University, Durham, North Carolina, USA. Electronic address: ziqi.zhou@duke.edu. ^[5] Department of Electrical and Computer Engineering, Duke University, Durham, North Carolina, USA; Department of Computer Science, Duke University, Durham, North Carolina, USA. Electronic address: miroslav.pajic@duke.edu. ^[6] Department of Electrical and Computer Engineering, Duke University, Durham, North Carolina, USA; Department of Ophthalmology, Duke University, Durham, North Carolina, USA. Electronic address: majda.hadziahmetovic@duke.edu. ^[7]

关键词 AI Integration Age-related macular degeneration Algorithmic bias Artificial Intelligence Convolutional Neural Network Deep learning Machine learning algorithms Predictive Modeling Transfer learning

医学主题词人类(Humans);人工智能(Artificial Intelligence);黄斑变性(Macular Degeneration);预后(Prognosis);血管生成抑制剂(Angiogenesis Inhibitors);疾病恶化(Disease Progression);血管内皮生长因子A(Vascular Endothelial Growth Factor A)

DOI 10.1016/j.survophthal.2025.09.007

PMID 40975441

发布时间 2026-01-21

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