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人工智能在眼科学中的现状与展望:综述

Current state and future prospects of artificial intelligence in ophthalmology: a review.

机构信息

Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, University of Melbourne, Melbourne, Victoria, Australia.

Lions Eye Institute, Centre for Vision Sciences, University of Western Australia, Perth, Western Australia, Australia.

出版信息

Clin Exp Ophthalmol. 2019 Jan;47(1):128-139. doi: 10.1111/ceo.13381. Epub 2018 Sep 30.

DOI:10.1111/ceo.13381
PMID:30155978
Abstract

Artificial intelligence (AI) has emerged as a major frontier in computer science research. Although AI has broad application across many medical fields, it will have particular utility in ophthalmology and will dramatically change the diagnostic and treatment pathways for many eye conditions such as corneal ectasias, glaucoma, age-related macular degeneration and diabetic retinopathy. However, given that AI has primarily been driven as a computer science, its concepts and terminology are unfamiliar to many medical professionals. Important key terms such as machine learning and deep learning are often misunderstood and incorrectly used interchangeably. This article presents an overview of AI and new developments relevant to ophthalmology.

摘要

人工智能(AI)已成为计算机科学研究的一个主要前沿领域。虽然 AI 在许多医学领域都有广泛的应用,但它在眼科领域将具有特别的实用性,并将极大地改变许多眼部疾病的诊断和治疗途径,如角膜扩张、青光眼、年龄相关性黄斑变性和糖尿病性视网膜病变。然而,鉴于 AI 主要是作为计算机科学发展起来的,其概念和术语对许多医学专业人员来说并不熟悉。重要的关键术语,如机器学习和深度学习,经常被误解和错误地互换使用。本文介绍了与眼科相关的 AI 及其新进展的概述。

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