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Artificial Intelligence vs. Natural Stupidity: Evaluating AI Readiness for the Vietnamese Medical Information System

机译:人工智能与自然愚蠢:评估越南医疗信息系统的AI准备情况

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摘要

This review paper presents a framework to evaluate the artificial intelligence (AI) readiness for the healthcare sector in developing countries: a combination of adequate technical or technological expertise, financial sustainability, and socio-political commitment embedded in a healthy psycho-cultural context could bring about the smooth transitioning toward an AI-powered healthcare sector. Taking the Vietnamese healthcare sector as a case study, this paper attempts to clarify the negative and positive influencers. With only about 1500 publications about AI from 1998 to 2017 according to the latest Elsevier AI report, Vietnamese physicians are still capable of applying the state-of-the-art AI techniques in their research. However, a deeper look at the funding sources suggests a lack of socio-political commitment, hence the financial sustainability, to advance the field. The AI readiness in Vietnam’s healthcare also suffers from the unprepared information infrastructure—using text mining for the official annual reports from 2012 to 2016 of the Ministry of Health, the paper found that the frequency of the word “database” actually decreases from 2012 to 2016, and the word has a high probability to accompany words such as “lacking”, “standardizing”, “inefficient”, and “inaccurate.” Finally, manifestations of psycho-cultural elements such as the public’s mistaken views on AI or the non-transparent, inflexible and redundant of Vietnamese organizational structures can impede the transition to an AI-powered healthcare sector.
机译:这篇综述文章提出了一个框架,用于评估发展中国家卫生保健部门对人工智能(AI)的准备情况:将适当的技术知识或技术专长,财务可持续性以及健康的心理文化环境中的社会政治承诺相结合,可以带来向AI推动的医疗保健行业的平稳过渡。本文以越南医疗保健行业为例,试图阐明负面影响者和正面影响者。根据Elsevier最新的AI报告,从1998年到2017年,只有约1500篇关于AI的出版物,越南医师仍然能够在他们的研究中应用最先进的AI技术。但是,对资金来源的更深入研究表明,缺乏推动这一领域发展的社会政治承诺,因此缺乏财务可持续性。越南医疗保健中的AI准备工作也遭受着信息基础设施准备不足的困扰-使用文本挖掘来获取卫生部2012年至2016年的官方年度报告,该论文发现,“数据库”一词的频率实际上从2012年至2016年有所减少,并且该单词很可能与诸如“缺少”,“标准化”,“低效”和“不准确”之类的单词相伴。最后,心理文化因素的表现,例如公众对AI的错误看法或越南组织结构的不透明,不灵活和冗长,可能会阻碍向AI驱动的医疗保健行业的过渡。

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