Zobrazeno 1 - 10
of 87
pro vyhledávání: '"Sherif, Gonem"'
Autor:
Sherif Gonem, Daniella Draicchio, Ayad Mohamed, Sally Wood, Kelly Shiel, Steve Briggs, Tricia M McKeever, Dominick Shaw
Publikováno v:
Resuscitation Plus, Vol 20, Iss , Pp 100788- (2024)
Aim: To determine the frequency with which the National Early Warning Score-2 (NEWS-2) fails to detect physiological deterioration preceding in-hospital cardiac arrest (IHCA). Methods: We conducted a retrospective observational study of all adult pat
Externí odkaz:
https://doaj.org/article/6f4738b3c8af41cabcee5fd08e5444c4
Autor:
Sherif Gonem, Tricia M McKeever, Dominick Shaw, Abdulla Baguneid, Steve Briggs, Joseph Lemberger
Publikováno v:
BMJ Open Respiratory Research, Vol 11, Iss 1 (2024)
Introduction The National Early Warning Score-2 (NEWS-2) is used to detect deteriorating patients in hospital settings. We aimed to understand how NEWS-2 functions in the real-life setting of an acute respiratory unit.Methods Clinical observations da
Externí odkaz:
https://doaj.org/article/3ad2ddae863343ecb874b7fb8b583242
Autor:
Sherif Gonem, Adam Taylor, Grazziela Figueredo, Sarah Forster, Philip Quinlan, Jonathan M. Garibaldi, Tricia M. McKeever, Dominick Shaw
Publikováno v:
Respiratory Research, Vol 23, Iss 1, Pp 1-8 (2022)
Abstract Background The National Early Warning Score-2 (NEWS-2) is used to detect patient deterioration in UK hospitals but fails to take account of the detailed granularity or temporal trends in clinical observations. We used data-driven methods to
Externí odkaz:
https://doaj.org/article/5954d14406e944b993b2c39680e609e0
Publikováno v:
Clin Med (Lond)
AIMS: Accurately predicting risk of patient deterioration is vital. Altered physiology in chronic disease affects the prognostic ability of vital signs based early warning score systems. We aimed to assess the potential of early warning score pattern
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c67bd087acd16d37fccf6c0c37ec88c
https://europepmc.org/articles/PMC9595013/
https://europepmc.org/articles/PMC9595013/
Autor:
Adel H, Mansur, Sherif, Gonem, Thomas, Brown, Hassan, Burhan, Rekha, Chaudhuri, James W, Dodd, Thomas, Pantin, Robin, Gore, David, Jackson, Andrew, Menzies-Gow, Mitesh, Patel, Ian, Pavord, Paul, Pfeffer, Salman, Siddiqui, John, Busby, Liam G, Heaney, Deepak, Subramanian
Publikováno v:
Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology.
several biological treatments have become available for management of severe asthma. There is a significant overlap in the indication of these treatments with lack of consensus on the first-line biologic choice and switching practice in event of trea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d1655bfd4465492f406376b351ae4ff
https://pubmed.ncbi.nlm.nih.gov/36057784
https://pubmed.ncbi.nlm.nih.gov/36057784
Publikováno v:
Thorax. 75:695-701
The past 5 years have seen an explosion of interest in the use of artificial intelligence (AI) and machine learning techniques in medicine. This has been driven by the development of deep neural networks (DNNs)—complex networks residing in silico b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ecc0f569c3b3e24c66a64a8e084a668b
https://doi.org/10.1136/thoraxjnl-2020-214556
https://doi.org/10.1136/thoraxjnl-2020-214556
Autor:
Nilakash Das, Sofie Happaerts, Iwein Gyselinck, Michael Staes, Eric Derom, Guy Brusselle, Felip Burgos, Marco Contoli, Anh Tuan Dinh-Xuan, Frits M.E. Franssen, Sherif Gonem, Neil Greening, Christel Haenebalcke, William D-C. Man, Jorge Moisés, Rudi Peché, Vitalii Poberezhets, Jennifer K. Quint, Michael C. Steiner, Eef Vanderhelst, Mustafa Abdo, Marko Topalovic, Wim Janssens
Publikováno v:
European Respiratory Journal. 61:2201720
BackgroundFew studies have investigated the collaborative potential between artificial intelligence (AI) and pulmonologists for diagnosing pulmonary disease. We hypothesised that the collaboration between a pulmonologist and AI with explanations (exp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b9968d268836486fd7ed18d2c1b21bef
https://doi.org/10.1183/13993003.01720-2022
https://doi.org/10.1183/13993003.01720-2022
Autor:
Grazziela P. Figueredo, Dominic E. Shaw, Sarah Forster, Sherif Gonem, Tricia M. McKeever, Jonathan M. Garibaldi, Adam J. Taylor
Publikováno v:
Predictive tools for acute deterioration in COVID-19 and beyond.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89ab6dfbe433349498e105e08c3e511b
https://doi.org/10.1136/thorax-2021-btsabstracts.23
https://doi.org/10.1136/thorax-2021-btsabstracts.23
Autor:
Colin J Crooks, Joe West, Andrew Fogarty, Joanne R Morling, Matthew J Grainge, Sherif Gonem, Mark Simmonds, Andrea Race, Irene Juurlink, Steve Briggs, Simon Cruickshank, Susan Hammond-Pears, Timothy R Card
Publikováno v:
American journal of epidemiology. 191(11)
We compared the performance of prognostic tools for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) using parameters fitted either at the time of hospital admission or across all time points of an admission. This cohort study used clinic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e372ae713a27642160aef60742a58a8b
https://pubmed.ncbi.nlm.nih.gov/35872596
https://pubmed.ncbi.nlm.nih.gov/35872596