Zobrazeno 1 - 10 of 26 pro vyhledávání: '"Dominic Pimenta"'
1
Akademický článek
Use of an ambient artificial intelligence tool to improve quality of clinical documentation
Autor: Jasmine Balloch, Shankar Sridharan, Geralyn Oldham, Jo Wray, Paul Gough, Robert Robinson, Neil J. Sebire, Saleh Khalil, Elham Asgari, Christopher Tan, Andrew Taylor, Dominic Pimenta
Publikováno v: Future Healthcare Journal, Vol 11, Iss 3, Pp 100157- (2024)
Background: Electronic health records (EHRs) have contributed to increased workloads for clinicians. Ambient artificial intelligence (AI) tools offer potential solutions, aiming to streamline clinical documentation and alleviate cognitive strain on h
Externí odkaz: https://doaj.org/article/9a7efb15e4e5465caa8600a1382cc7b2
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2
Akademický článek
Impact of Electronic Health Record Use on Cognitive Load and Burnout Among Clinicians: Narrative Review
Autor: Elham Asgari, Japsimar Kaur, Gani Nuredini, Jasmine Balloch, Andrew M Taylor, Neil Sebire, Robert Robinson, Catherine Peters, Shankar Sridharan, Dominic Pimenta
Publikováno v: JMIR Medical Informatics, Vol 12, p e55499 (2024)
The cognitive load theory suggests that completing a task relies on the interplay between sensory input, working memory, and long-term memory. Cognitive overload occurs when the working memory’s limited capacity is exceeded due to excessive informa
Externí odkaz: https://doaj.org/article/8e4a82c4a2af414b95b264cc8fe655a2
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3
Akademický článek
Role of artificial intelligence in defibrillators: a narrative review
Autor: Mahmood Ahmad, Daniel R Obaid, Niraj Kumar, Nishil Patel, Grace Brown, Dominic Pimenta, Samuel Conway, Mohammad Alradhawi, Divine Adegbie, Vidushi Myneni, Jonathan J H Bray
Publikováno v: Open Heart, Vol 9, Iss 2 (2022)
Automated external defibrillators (AEDs) and implantable cardioverter defibrillators (ICDs) are used to treat life-threatening arrhythmias. AEDs and ICDs use shock advice algorithms to classify ECG tracings as shockable or non-shockable rhythms in cl
Externí odkaz: https://doaj.org/article/df618b7b0e7b4dd3993c1b1686f6ea4e
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4
A practical risk score for early prediction of neurological outcome after out-of-hospital cardiac arrest: MIRACLE2
Autor: Nilesh Pareek, Marko Noc, Peter Kordis, Ajay M. Shah, Rachael T Fothergill, Nicholas Beckley-Hoelscher, Dominic Pimenta, Jonathan Byrne, Tim Lockie, Joanne Nevett, Philip MacCarthy, Anja Jazbec, Spela Tadel Kocjancic, Sundeep Kalra
Publikováno v: European Heart Journal. 41:4508-4517
Aims The purpose of this study was to develop a practical risk score to predict poor neurological outcome after out-of-hospital cardiac arrest (OOHCA) for use on arrival to a Heart Attack Centre. Methods and results From May 2012 to December 2017, 10
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2cd051d3ac465e4c00a951b1f7d812b3
https://doi.org/10.1093/eurheartj/ehaa570
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5
Effect of hyperglycaemia in combination with moxifloxacin on cardiac repolarization in male and female patients with type I diabetes
Autor: Jorg Taubel, Dominic Pimenta, Samuel Thomas Cole, Claus Graff, Jørgen K. Kanters, A. John Camm
Publikováno v: Taubel, J, Pimenta, D, Cole, S T, Graff, C, Kanters, J K & Camm, A J 2022, ' Effect of hyperglycaemia in combination with moxifloxacin on cardiac repolarization in male and female patients with type I diabetes ', Clinical Research in Cardiology, vol. 111, no. 10, pp. 1147-1160 . https://doi.org/10.1007/s00392-022-02037-8
Taubel, J, Pimenta, D, Cole, S T, Graff, C, Kanters, J K & Camm, A J 2022, ' Effect of hyperglycaemia in combination with moxifloxacin on cardiac repolarization in male and female patients with type I diabetes ', Clinical Research in Cardiology, vol. 111, pp. 1147–1160 . https://doi.org/10.1007/s00392-022-02037-8
Background Patients with Type 1 diabetes mellitus have been shown to be at a two to ten-fold higher risk of sudden cardiac death (SCD) (Svane et al., Curr Cardiol 2020; 22:112) than the general population, but the underlying mechanism is unclear. Hyp
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::76bde5fcf68df559f5cf4fc8ed1810a3
https://pubmed.ncbi.nlm.nih.gov/35596784
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6
Machine learning applications in cardiac computed tomography: a composite systematic review
Autor: Jonathan James Hyett Bray, Moghees Ahmad Hanif, Mohammad Alradhawi, Jacob Ibbetson, Surinder Singh Dosanjh, Sabrina Lucy Smith, Mahmood Ahmad, Dominic Pimenta
Artificial intelligence and machine learning (ML) models are rapidly being applied to the analysis of cardiac computed tomography (CT). We sought to provide an overview of the contemporary advances brought about by the combination of ML and cardiac C
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46ae04e77105f95bfa175f4e34e02abb
https://cronfa.swan.ac.uk/Record/cronfa62367/Download/62367__26336__977b5130b0ec4220ae3548e64e94f00f.pdf
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9
Role of artificial intelligence in defibrillators: a narrative review
Autor: Grace Brown, Samuel Conway, Mahmood Ahmad, Divine Adegbie, Nishil Patel, Vidushi Myneni, Mohammad Alradhawi, Niraj Kumar, Daniel R Obaid, Dominic Pimenta, Jonathan J H Bray
Publikováno v: Open Heart. 9:e001976
Automated external defibrillators (AEDs) and implantable cardioverter defibrillators (ICDs) are used to treat life-threatening arrhythmias. AEDs and ICDs use shock advice algorithms to classify ECG tracings as shockable or non-shockable rhythms in cl
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a4073cc0c99f48e0571a7ba51842091d
https://doi.org/10.1136/openhrt-2022-001976
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