研究论文
Multimodal artificial intelligence in ophthalmology: Applications, challenges, and future directions
Kai Jin, Yu Tao, Andrzej Grzybowski
Second Affiliated Hospital of Zhejiang University University of Warmia and Mazury in Olsztyn
来源Survey of Ophthalmology
年份2025
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学术脉络
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生物医学Retinal Imaging and Analysis
Retinal and Optic Conditions · Acute Ischemic Stroke Management
参考文献 52
Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs
被引 7,825Varun Gulshan, Lily Peng, Marc Coram · JAMA · 2016
Dermatologist-level classification of skin cancer with deep neural networks
被引 14,325Andre Esteva, Brett Kuprel, Roberto A. Novoa · Nature · 2017
Clinically applicable deep learning for diagnosis and referral in retinal disease
被引 2,686Jeffrey De Fauw, Joseph R. Ledsam, Bernardino Romera‐Paredes · Nature Medicine · 2018
此处列出前 3 条
引用本文 27
Artificial Intelligence in Ophthalmology: Acceptance, Clinical Integration, and Educational Needs in Switzerland
被引 8Christoph Tappeiner · Journal of Clinical Medicine · 2025
Grounded report generation for enhancing ophthalmic ultrasound interpretation using Vision-Language Segmentation models
被引 5Kai Jin, Qixuan Sun, Daohuan Kang · npj Digital Medicine · 2026
Diagnostic performance and generalizability of deep learning for multiple retinal diseases using bimodal imaging of fundus photography and optical coherence tomography
被引 5Xingwang Gu, Yang Zhou, Jianchun Zhao · Frontiers in Cell and Developmental Biology · 2025
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