人工智能,对抗抗菌素耐药性的有力工具:最新进展

Q3 Biochemistry, Genetics and Molecular Biology
Rony Masud, Naeem Fahim, Md Rana, Md Islam, Md Rahman
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引用次数: 0

摘要

抗菌素耐药性(AMR),又称抗生素耐药性,是一项全球卫生危机。许多人死于多重耐药病原体(MDR)引起的疾病。人工智能(AI)涉及应用理论和开发计算机系统来执行通常需要人类智能的任务,例如视觉感知、语音识别、决策和语言间翻译来解决问题。人工智能已经成功地应用于各个领域,从单细胞研究到空间科学。在医学科学中使用人工智能有巨大的潜力,包括对抗耐多药和抗菌素耐药性。在这篇综述中,我们强调了人工智能的一些成功应用和潜力,以对抗抗生素耐药性,以改善人类,包括人工智能的基本原则,可用的人工智能资源,使用和范围,优势和局限性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Artificial intelligence, a powerful tool to combat antimicrobial resistance: An update
Antimicrobial resistance (AMR), also known as antibiotic resistance, is a global health crisis. Many people die from diseases caused by multi-drug resistant pathogens (MDR). Artificial intelligence (AI) deals with applying theory and developing computer systems to conduct tasks usually requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages to solve problems. AI has been successfully used in various fields, from single-cell study to space science. There is huge potential for using AI in medical science, including fighting against MDR to combat AMR. In this review, we have highlighted some of AI’s successful uses and potentiality to combat AMR for the betterment of the human race, including the basic principles of AI, available AI resources, use and scope, advantages and limitations.
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来源期刊
Journal of Advanced Biotechnology and Experimental Therapeutics
Journal of Advanced Biotechnology and Experimental Therapeutics Biochemistry, Genetics and Molecular Biology-Biochemistry, Genetics and Molecular Biology (all)
CiteScore
1.90
自引率
0.00%
发文量
41
审稿时长
8 weeks
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