人工智能的影响:人工智能在医疗保健领域的革命性影响

Ashish K. Saxena, Stephanie Ness, Tushar Khinvasara
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摘要

随着人工智能(AI)在现代商业和日常生活中的日益普及,它在医疗保健领域的应用也在不断增长。它经常被视为当今时代的一项重大技术进步。近来,人工智能(AI)和大数据分析领域已被用于移动医疗(m-health)领域,以建立一个高效的医疗保健系统。现代医学研究利用的数据种类繁多且难以理解,其中包括电子健康记录(EHR)、医学影像以及普遍缺乏组织的复杂语言。移动应用和医疗系统的发展是导致无序和非结构化数据集出现的一个重要因素。提高对各种数据集的访问能力以及采用机器学习等先进的计算机技术,可以帮助研究人员开创高效基因治疗的新时代。本综述阐明了机器学习算法在医疗保健系统中的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Influence of AI: The Revolutionary Effects of Artificial Intelligence in Healthcare Sector
The application of artificial intelligence (AI) in healthcare is growing as it becomes more prevalent in modern business and everyday life. It is frequently regarded as a significant technological advancement in the present period. In recent times, the fields of artificial intelligence (AI) and big data analytics have been utilised in the domain of mobile health (m-health) to establish a highly efficient healthcare system. Modern medical research utilises diverse and poorly understood data, including electronic health records (EHRs), medical imaging, and complex language that is widely unorganised. The growth of mobile applications, together with healthcare systems, is a significant factor leading to the presence of disorganised and unstructured datasets. The enhanced accessibility of diverse datasets and advanced computer techniques like machine learning can enable researchers to usher in a new era of highly efficient genetic therapy. This review paper has clarified the role of machine learning algorithms in healthcare systems.
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