The Emerging Role of Artificial Intelligence in the Fight Against COVID-19.

Ghose, Aruni; Roy, Sabyasachi; Vasdev, Nikhil; Olsburgh, Jonathon; Dasgupta, Prokar

Ghose, Aruni; Roy, Sabyasachi; Vasdev, Nikhil; Olsburgh, Jonathon; Dasgupta, Prokar.

Ghose A; Medway NHS Foundation Trust, Gillingham, UK.
Roy S; Applied Intelligence, Accenture, London, UK.
Vasdev N; Department of Urology, Hertfordshire and Bedfordshire Urological Cancer Centre, Lister Hospital Stevenage, School of Medicine and Life Sciences, University of Hertfordshire, Hatfield, UKE.
Olsburgh J; Guy's and St. Thomas' NHS Foundation Trust, London, UK.
Dasgupta P; Faculty of Life Sciences and Medicine, King's College London, London, UK. Electronic address: prokar.dasgupta@kcl.ac.uk.

Eur Urol ; 78(6): 775-776, 2020 12.

Article in English | MEDLINE | ID: covidwho-807797

ABSTRACT

ABSTRACT

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.

Subject(s)

Artificial Intelligence; COVID-19/diagnosis; Urology; Big Data; COVID-19/prevention & control; Humans; SARS-CoV-2; Symptom Assessment

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Urology / Artificial Intelligence / COVID-19 Type of study: Diagnostic study / Prognostic study Limits: Humans Language: English Journal: Eur Urol Year: 2020 Document Type: Article Affiliation country: J.eururo.2020.09.031

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