Literature DB >> 34397260

Use of Artificial Intelligence Tools Across Different Clinical Settings: A Cautionary Tale.

Konstantinos C Siontis1, Peter A Noseworthy1, Arman Arghami2, Susan A Weston3, Zachi I Attia1, Juan A Crestanello2, Paul A Friedman1, Alanna M Chamberlain3, Bernard J Gersh1.   

Abstract

Entities:  

Keywords:  atrial fibrillation; deep learning; probability

Mesh：

Year:  2021        PMID： 34397260      PMCID： PMC8455449          DOI： 10.1161/CIRCOUTCOMES.121.008153

Source DB:  PubMed          Journal:  Circ Cardiovasc Qual Outcomes        ISSN： 1941-7713


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  5 in total

Review 1.  Postoperative atrial fibrillation: mechanisms, manifestations and management.

Authors:  Dobromir Dobrev; Martin Aguilar; Jordi Heijman; Jean-Baptiste Guichard; Stanley Nattel
Journal:  Nat Rev Cardiol       Date:  2019-07       Impact factor: 32.419

2.  An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome prediction.

Authors:  Zachi I Attia; Peter A Noseworthy; Francisco Lopez-Jimenez; Samuel J Asirvatham; Abhishek J Deshmukh; Bernard J Gersh; Rickey E Carter; Xiaoxi Yao; Alejandro A Rabinstein; Brad J Erickson; Suraj Kapa; Paul A Friedman
Journal:  Lancet       Date:  2019-08-01       Impact factor: 79.321

3.  Association of New-Onset Atrial Fibrillation After Noncardiac Surgery With Subsequent Stroke and Transient Ischemic Attack.

Authors:  Konstantinos C Siontis; Bernard J Gersh; Susan A Weston; Ruoxiang Jiang; Anthony H Kashou; Véronique L Roger; Peter A Noseworthy; Alanna M Chamberlain
Journal:  JAMA       Date:  2020-09-01       Impact factor: 56.272

Review 4.  Research Priorities in Atrial Fibrillation Screening: A Report From a National Heart, Lung, and Blood Institute Virtual Workshop.

Authors:  Emelia J Benjamin; Alan S Go; Patrice Desvigne-Nickens; Christopher D Anderson; Barbara Casadei; Lin Y Chen; Harry J G M Crijns; Ben Freedman; Mellanie True Hills; Jeff S Healey; Hooman Kamel; Dong-Yun Kim; Mark S Link; Renato D Lopes; Steven A Lubitz; David D McManus; Peter A Noseworthy; Marco V Perez; Jonathan P Piccini; Renate B Schnabel; Daniel E Singer; Robert G Tieleman; Mintu P Turakhia; Isabelle C Van Gelder; Lawton S Cooper; Sana M Al-Khatib
Journal:  Circulation       Date:  2021-01-25       Impact factor: 29.690

Review 5.  Artificial intelligence-enhanced electrocardiography in cardiovascular disease management.

Authors:  Konstantinos C Siontis; Peter A Noseworthy; Zachi I Attia; Paul A Friedman
Journal:  Nat Rev Cardiol       Date:  2021-02-01       Impact factor: 32.419
  5 in total
  1 in total

1.  Heart age estimated using explainable advanced electrocardiography.

Authors:  Thomas Lindow; Israel Palencia-Lamela; Todd T Schlegel; Martin Ugander
Journal:  Sci Rep       Date:  2022-06-14       Impact factor: 4.996
  1 in total

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