402 results on '"Pezel T"'
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2. Diagnosis and management of heart failure from hospital admission to discharge: A practical expert guidance
3. Intelligence artificielle et imagerie cardiovasculaire
4. Effects of cannabis on pulmonary arterial pressure in patients hospitalized for acute cardiac events: From the ADDICT-ICCU study
5. Incremental prognostic value of late gadolinium enhancement extent, transmurality, and pattern in patients with ischemic cardiomyopathy
6. Incremental prognostic value of coronary plaque features on CT angiography in symptomatic patients with obstructive CAD
7. Impacts of illicit drug use on coronary angiographic findings in a multicenter registry of patients with acute coronary syndrome
8. Machine learning score using cardiac MRI to predict cardiovascular events in patients with acute myocarditis
9. Machine learning for major adverse cardiac events prediction in patients with acute coronary syndrome: Results from ADDICT-ICCU study
10. Optimal cut-off point of the global circumferential strain measured at stress for prediction of cardiovascular events
11. Machine learning score using only echocardiographic data for prediction of in-hospital outcomes in ICCU patients
12. AI-based fully automated left atrioventricular coupling index as a prognostic marker in patients undergoing stress-CMR
13. In-hospital prognostic value of TAPSE/sPAP in patients hospitalized for acute heart failure
14. Prognostic impact of recreational drug use at 1-year follow-up in patients hospitalized for acute cardiovascular events
15. Invasive coronary angiography features associated with high exhaled carbon monoxide in acute coronary syndromes from a prospective multicentric registry
16. Phenotypic clustering of a large cohort of patients with diabetes in primary prevention
17. Optimal cut-off thresholds of LGE extent to predict death using machine-learning in a large cohort of ICM patients
18. Cost-effectiveness analysis of simulation-based training in transesophageal echocardiography: Insights from the SIMULATOR trial
19. Left atrioventricular coupling index assessed using cardiac CT as a prognostic marker of cardiovascular death
20. Artificial intelligence fully automated assessment of global longitudinal strain predicts death in patients undergoing stress CMR
21. Factors associated with coronary revascularization in patients with suspected NSTE-ACS from a large multicenter prospective registry
22. Prognostic value of non-ischemic late gadolinium enhancement in patients with ischemic cardiomyopathy
23. Prevalence and epidemiological characteristics of psychoactive substance use in elderly patients: Insight from the ADDICT-ICCU study
24. Impact of carbon monoxide in smokers hospitalised with acute cardiac events
25. Prognostic impact of the extent, location, and pattern of late gadolinium enhancement in non-ischemic dilated cardiomyopathy
26. Machine learning to predict in-hospital outcomes in patients with acute heart failure
27. No difference on angiographic features between women and men in patients with acute coronary syndrome: Insights from the ADDICT-ICCU study
28. Prevalence and in-hospital prognostic impact of illicit drug use in patients hospitalized for acute heart failure
29. Machine-Learning Score using Stress CMR and CCTA for prediction of cardiovascular events in patients with obstructive CAD
30. IRM de stress avec imagerie de perfusion myocardique
31. Left atrioventricular coupling index assessed using cardiac CT as a prognostic marker of cardiovascular death
32. Machine-learning score using CCTA and stress CMR for prediction of cardiovascular events in patients with obstructive CAD
33. Machine learning to predict in-hospital outcomes in patients with acute heart failure
34. Ai-based fully automated left atrioventricular coupling index as a prognostic marker in patients undergoing stress-CMR
35. Machine learning for in-hospital cardiac events prediction in patients with acute coronary syndrome: results from ADDICT-ICCU study
36. Incremental prognostic value of coronary plaque features on CT angiography in symptomatic patients with obstructive CAD
37. Machine-learning score to predict in-hospital outcomes in patients Hospitalized in Intensive Cardiac Care Unit
38. In-hospital prognosis of recreational drug use in patients with acute ST-elevation myocardial infarction: insights from the ADDICT-ICCU study
39. Incremental prognostic value of fully-automatic machine-learning based global circumferential strain during a stress CMR exam
40. Machine learning to detect recreational drugs use in cardiac intensive care units
41. Safety and incremental prognostic value of stress CMR in patients with known chronic kidney disease
42. No difference on angiographic features between women and men in patients with acute coronary syndrome: insights from the ADDICT-ICCU study
43. Machine learning using cardiovascular magnetic resonance to predict cardiovascular events in patients with acute myocarditis
44. Incremental prognostic value of fully automatic LVEF measured at stress using machine learning
45. Characterizing patients ineligible for mitral valve intervention: Phenotypic clustering sub-analysis from the CHOICE-MI Registry
46. Prognostic impact of the extent, location, and pattern of late gadolinium enhancement in dilated cardiomyopathy
47. Impacts of illicit drug use on coronary angiographic findings in a multicenter registry of patients with acute coronary syndrome
48. Incremental prognostic value of late gadolinium enhancement extent, transmurality, and pattern in patients with ischaemic cardiomyopathy
49. In-hospital Prognostic Value of TAPSE/sPAP in Patients Hospitalized for Acute Heart Failure
50. Machine learning score focused only on echocardiographic data to predict in-hospital outcomes in ICCU patients. A study from the ADDICT ICCU cohort
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