Artificial Intelligence and Health in Nepal.

IF 1.7 Q3 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Nepal Journal of Epidemiology Pub Date : 2020-09-30 eCollection Date: 2020-09-01 DOI:10.3126/nje.v10i3.31649
Alexander van Teijlingen, Tell Tuttle, Hamid Bouchachia, Brijesh Sathian, Edwin van Teijlingen
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引用次数: 0

Abstract

The growth in information technology and computer capacity has opened up opportunities to deal with much and much larger data sets than even a decade ago. There has been a technological revolution of big data and Artificial Intelligence (AI). Perhaps many readers would immediately think about robotic surgery or self-driving cars, but there is much more to AI. This Short Communication starts with an overview of the key terms, including AI, machine learning, deep learning and Big Data. This Short Communication highlights so developments of AI in health that could benefit a low-income country like Nepal and stresses the need for Nepal's health and education systems to track such developments and apply them locally. Moreover, Nepal needs to start growing its own AI expertise to help develop national or South Asian solutions. This would require investing in local resources such as access to computer power/capacity as well as training young Nepali to work in AI.

尼泊尔的人工智能与健康。
信息技术和计算机能力的增长为处理比十年前更多更大的数据集提供了机会。大数据和人工智能(AI)引发了一场技术革命。也许许多读者会立即想到机器人手术或自动驾驶汽车,但人工智能的内涵远不止于此。本短讯首先概述了人工智能、机器学习、深度学习和大数据等关键术语。本短讯重点介绍了人工智能在医疗卫生领域的发展,这些发展可能会使尼泊尔这样的低收入国家受益,并强调尼泊尔的医疗卫生和教育系统需要跟踪这些发展,并在当地加以应用。此外,尼泊尔需要开始发展自己的人工智能专业知识,以帮助开发国家或南亚解决方案。这就需要对当地资源进行投资,如获得计算机能力,以及培训尼泊尔年轻人从事人工智能工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Nepal Journal of Epidemiology
Nepal Journal of Epidemiology PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
自引率
10.30%
发文量
13
期刊介绍: The Nepal Journal of Epidemiology is a international journal that encompasses all aspects of epidemiology. The journal encourages communication among those engaged in the research, teaching, and application of epidemiology of both communicable and non-communicable disease, including research into health services and medical care. Also covered are new methods, epidemiological and statistical, for the analysis of data used by those who practise social and preventive medicine. It provides the most up-to-date, original, well designed, well interpreted and significant information source in the multidisciplinary field of epidemiology. We publish manuscripts based on the following sections: 1.Short communications 2.Current research trends 3.Original research 4.Case reports 5.Review articles 6.Letter to editor
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