Artificial Intelligence for Healthcare Systems of Developing World: Opportunities and Risks

Q3 Engineering
Maheshika Dissanayake
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引用次数: 0

Abstract

Artificial Intelligence (AI) is now everywhere. It refers to systems that demonstrate intelligent behavior, such as the ability to analyze their environment to take action that is typically displayed by humans and animals.  AI-embedded devices possess the ability to learn through example scenarios and past data presented to the system. The word AI was first introduced to the research community in 1956 at a conference at Dartmouth College in the United States [1].  With time, the AI industry expanded from data to information, then to knowledge, and ultimately to intelligence. Due to the depth and breadth of learning capacity associated with AI technologies, today it has become one of the hottest research areas, finding applications in but not limited to computer vision, marketing, industrial automation, big data, and the Internet of things (IOT).
发展中国家医疗保健系统的人工智能:机遇与风险
人工智能(AI)现在无处不在。它指的是表现出智能行为的系统,例如分析环境以采取人类和动物通常表现出来的行动的能力。嵌入式人工智能设备具有通过提供给系统的示例场景和过去数据进行学习的能力。人工智能这个词是1956年在美国达特茅斯学院的一次会议上首次被引入研究界的。随着时间的推移,人工智能产业从数据扩展到信息,然后扩展到知识,最终扩展到智能。由于与人工智能技术相关的学习能力的深度和广度,今天它已经成为最热门的研究领域之一,在计算机视觉、市场营销、工业自动化、大数据和物联网(IOT)等领域都有应用。
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
Advances in Technology Innovation
Advances in Technology Innovation Energy-Energy Engineering and Power Technology
CiteScore
1.90
自引率
0.00%
发文量
18
审稿时长
12 weeks
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