Medway NHS Foundation Trust, Gillingham, UK.
Applied Intelligence, Accenture, London, UK.
Eur Urol. 2020 Dec;78(6):775-776. doi: 10.1016/j.eururo.2020.09.031. Epub 2020 Sep 17.
The coronavirus disease 2019 (COVID-19) pandemic has generated large volumes of clinical data that can be an invaluable resource towards answering a number of important questions for this and future pandemics. Artificial intelligence can have an important role in analysing such data to identify populations at higher risk of COVID-19-related urological pathologies and to suggest treatments that block viral entry into cells by interrupting the angiotensin-converting enzyme 2-transmembrane serine protease 2 (ACE2-TMPRSS2) pathway.
2019 年冠状病毒病（COVID-19）大流行产生了大量的临床数据，这些数据对于回答这一流行病和未来流行病的许多重要问题是非常宝贵的资源。人工智能在分析这些数据以识别 COVID-19 相关泌尿系统疾病风险较高的人群以及通过阻断血管紧张素转换酶 2-跨膜丝氨酸蛋白酶 2（ACE2-TMPRSS2）途径来抑制病毒进入细胞的治疗方法方面可以发挥重要作用。
