人工智能在新冠肺炎诊断中的作用：一个小综述

IF 0.4 Q4 CRITICAL CARE MEDICINE

Journal of Acute Disease Pub Date : 2022-09-01 DOI:10.4103/2221-6189.357454

PK Mohammed, Saakshi Gulati, Shivangi Gupta

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引用次数: 0

摘要

由于严重急性呼吸综合征冠状病毒2型（SARS-CoV-2）感染而导致的持续的新冠肺炎大流行已导致严重的公共卫生保健系统危机。这种疾病对人类生命造成了毁灭性的破坏，并对经济造成了重大破坏。使用“机器学习”算法作为人工智能工具可能有助于识别疑似或感染者，并估计其生存机会。这些算法利用了记录的观测数据，包括病史、患者人口统计数据以及新冠肺炎的任何相关数据。

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Role of artificial intelligence in the diagnosis of COVID-19: A mini review

The ongoing COVID-19 pandemic due to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection has resulted in a significant public health care system crisis. This disease has resulted in devastating damage to human lives and significant disruption in economies. Use of “machine-learning” algorithms as tools of artificial intelligence may help identify a suspected or infected individual with an estimation of chances of survival. These algorithms make use of recorded observational data including medical histories, patient demographics as well as any related data on COVID-19.

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来源期刊

Journal of Acute Disease CRITICAL CARE MEDICINE-

自引率

20.00%

发文量

652

审稿时长

12 weeks

期刊介绍： The articles published mainly deal with pre-hospital and hospital emergency medicine, cardiopulmonary-cerebral resuscitation, critical cardiovascular disease, sepsis, severe infection, multiple organ failure, acute and critical diseases in different medical fields, sudden cardiac arrest, Intensive Care Unit (ICU), critical care medicine, disaster rescue medicine (earthquakes, fires, floods, mine disaster, air crash, et al.), acute trauma, acute toxicology, acute heart disease, and related topics. JAD sets up columns for special subjects in each issue.