Research map: Deep learning electrocardiogram analysis for rapid rule-out of acute coronary syndrome in the emergency department: a multicenter diagnostic accuracy study

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  1. Comparing the Areas under Two or More Correlated Receiver Operating Characteristic Curves: A Nonparametric Approach · Elizabeth R. DeLong · 1988 · 23056 citations · Cited by this paper
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  31. Analytical Validation of a High-Sensitivity Cardiac Troponin T Assay · Evangelos Giannitsis · 2009 · 1086 citations · Cited by this paper
  32. Artificial intelligence-enhanced electrocardiography in cardiovascular disease management · Konstantinos C. Siontis · 2021 · 922 citations · Cited by this paper
  33. COVID-19 pandemic and admission rates for and management of acute coronary syndromes in England · Marion M. Mafham · 2020 · 753 citations · Cited by this paper
  34. Chest pain in the emergency room: value of the HEART score · A. Jacob Six · 2008 · 682 citations · Cited by this paper
  35. A prospective validation of the HEART score for chest pain patients at the emergency department · Barbra E. Backus · 2013 · 590 citations · Cited by this paper
  36. Prognostic Value of the Admission Electrocardiogram in Acute Coronary Syndromes · Stefano Savonitto · 1999 · 563 citations · Cited by this paper
  37. One-Hour Rule-out and Rule-in of Acute Myocardial Infarction Using High-Sensitivity Cardiac Troponin T · Tobias Reichlin · 2012 · 558 citations · Cited by this paper
  38. Characteristic electrocardiographic pattern indicating a critical stenosis high in left anterior descending coronary artery in patients admitted because of impending myocardial infarction · Chris de Zwaan · 1982 · 547 citations · Cited by this paper
  39. The health care burden of acute chest pain: Figure 1 · Steve W. Goodacre · 2005 · 494 citations · Cited by this paper

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