The current state of artificial intelligence in ophthalmology

被引：106

作者：

Kapoor, Rahul ^{[1
]}

Walters, Stephen P. ^{[1
]}

Al-Aswad, Lama A. ^{[1
]}

机构：

[1] Columbia Univ, Med Ctr, Harkness Eye Inst, New York, NY 10032 USA

来源：

SURVEY OF OPHTHALMOLOGY | 2019年 / 64卷 / 02期

关键词：

artificial intelligence; machine learning; deep learning; neural network; convolutional neural network; deep reinforcement learning; natural language processing; teleophthalmology; ophthalmology; DIABETIC-RETINOPATHY; MACULAR DEGENERATION; AUTOMATED DETECTION; NEURAL-NETWORKS; AGE; DIAGNOSIS; VALIDATION; PREDICTION; SYSTEM; IMAGES;

D O I：

10.1016/j.survophthal.2018.09.002

中图分类号：

R77 [眼科学];

学科分类号：

100212 [眼科学];

摘要：

Artificial intelligence (AI) is a branch of computer science that deals with the development of algorithms that seek to simulate human intelligence. We provide an overview of the basic principles in Al that are essential to the understanding of AI and its application in health care. We also present a descriptive analysis of the current state of AI in various fields of medicine, especially ophthalmology. Finally, we review the potential limitations and challenges that come along with the development and implementation of this new technology that will likely play a major role in clinical medicine in the near future. (C) 2018 Elsevier Inc. All rights reserved.

引用

页码：233 / 240

页数：8

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