心脏、眼睛与人工智能：综述
Heart, Eye, and Artificial Intelligence: A Review.
作者信息
Gupta Kush, Reddy Sarath
机构信息
Kasturba Medical College, Mangalore, India.
The Brooklyn Hospital Center, Brooklyn, NY, USA.
出版信息
Cardiol Res. 2021 Jun;12(3):132-139. doi: 10.14740/cr1179. Epub 2021 May 14.
Abstract
Heart disease continues to be the leading cause of death in the USA. Deep learning-based artificial intelligence (AI) methods have become increasingly common in studying the various factors involved in cardiovascular disease. The usage of retinal scanning techniques to diagnose retinal diseases, such as diabetic retinopathy, age-related macular degeneration, glaucoma and others, using fundus photographs and optical coherence tomography angiography (OCTA) has been extensively documented. Researchers are now looking to combine the power of AI with the non-invasive ease of retinal scanning to examine the workings of the heart and predict changes in the macrovasculature based on microvascular features and function. In this review, we summarize the current state of the field in using retinal imaging to diagnose cardiovascular issues and other diseases.
摘要
心脏病仍然是美国的主要死因。基于深度学习的人工智能（AI）方法在研究心血管疾病的各种相关因素中越来越普遍。利用眼底照片和光学相干断层扫描血管造影（OCTA）等视网膜扫描技术诊断视网膜疾病，如糖尿病性视网膜病变、年龄相关性黄斑变性、青光眼等，已有大量文献记载。研究人员现在希望将人工智能的力量与视网膜扫描的非侵入性便捷性相结合，以检查心脏的运作情况，并根据微血管特征和功能预测大血管系统的变化。在这篇综述中，我们总结了利用视网膜成像诊断心血管问题和其他疾病的该领域现状。
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