人工智能在新冠病毒超微结构中的应用
Artificial Intelligence in COVID-19 Ultrastructure.
作者信息
Elwazir Mohamed Y, Hosny Somaya
机构信息
Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
Department of Cardiology, Faculty of Medicine, Suez Canal University, Ismailia, Egypt.
出版信息
J Microsc Ultrastruct. 2020 Dec 10;8(4):146-147. doi: 10.4103/JMAU.JMAU_28_20. eCollection 2020 Oct-Dec.
Abstract
Artificial intelligence has found its way into numerous fields of medicine in the past decade, spurred by the availability of big data and powerful processors. For the COVID-19 pandemic, aside from predicting its onset, artificial intelligence has been used to track disease spread, detect pulmonary involvement in computed tomography scans, risk-stratify patients, and model virtual protein structure and potential therapeutic agents. This mini-review briefly discusses the potential applications of artificial intelligence in COVID-19 microscopy.
摘要
在过去十年中，受大数据和强大处理器的推动，人工智能已在医学的众多领域得到应用。对于新冠疫情，除了预测其爆发，人工智能还被用于追踪疾病传播、在计算机断层扫描中检测肺部受累情况、对患者进行风险分层，以及模拟虚拟蛋白质结构和潜在治疗药物。这篇综述简要讨论了人工智能在新冠病毒显微镜检查中的潜在应用。
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