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2. Machine-learning score using CCTA and stress CMR for prediction of cardiovascular events in patients with obstructive CAD

4. Ai-based fully automated left atrioventricular coupling index as a prognostic marker in patients undergoing stress-CMR

5. Machine learning for in-hospital cardiac events prediction in patients with acute coronary syndrome: results from ADDICT-ICCU study

6. Incremental prognostic value of coronary plaque features on CT angiography in symptomatic patients with obstructive CAD

7. Machine-learning score to predict in-hospital outcomes in patients Hospitalized in Intensive Cardiac Care Unit

8. In-hospital prognosis of recreational drug use in patients with acute ST-elevation myocardial infarction: insights from the ADDICT-ICCU study

10. Machine learning to detect recreational drugs use in cardiac intensive care units

11. Safety and incremental prognostic value of stress CMR in patients with known chronic kidney disease

12. No difference on angiographic features between women and men in patients with acute coronary syndrome: insights from the ADDICT-ICCU study

13. Machine learning using cardiovascular magnetic resonance to predict cardiovascular events in patients with acute myocarditis

15. Characterizing patients ineligible for mitral valve intervention: Phenotypic clustering sub-analysis from the CHOICE-MI Registry

16. Prognostic impact of the extent, location, and pattern of late gadolinium enhancement in dilated cardiomyopathy

17. Impacts of illicit drug use on coronary angiographic findings in a multicenter registry of patients with acute coronary syndrome

18. Incremental prognostic value of late gadolinium enhancement extent, transmurality, and pattern in patients with ischaemic cardiomyopathy

19. In-hospital Prognostic Value of TAPSE/sPAP in Patients Hospitalized for Acute Heart Failure

20. Machine learning score focused only on echocardiographic data to predict in-hospital outcomes in ICCU patients. A study from the ADDICT ICCU cohort

25. Machine-learning score using stress CMR and CCTA for prediction of cardiovascular events in patients with obstructive CAD

26. EACVI SIMULATOR-online study: evaluation of transoesophageal echocardiography knowledge and skills of young cardiologists

27. EACVI SIMULATOR-online study: evaluation of transoesophageal echocardiography knowledge and skills of young cardiologists

29. Prognosis of illicit drug use in patients with acute ST-elevation myocardial infarction: Insights from the ADDICT-ICCU trial

30. In-hospital outcomes following an acute coronary syndrome in patients with a recent cannabis use: Results from ADDICT-ICCU trial

31. Prognostic value of TAPSE/sPAP ratio among patients hospitalized in ICCU for acute cardiovascular event: Insights from the ADICCT-ICCU trial

32. Prevalence of illicit drugs use and association with in-hospital major adverse events in patients hospitalised for acute cardiac events: The ADDICT-ICCU Trial

33. Description of intensive cardiac care units (ICCU) in France in 2021: Insight from ADDICT-ICCU registry

34. Safety, feasibility and prognostic value of stress perfusion CMR in patients with MR-conditional pacemaker

38. Expiratory carbon monoxide level is a key determinant of prognosis in smokers with acute cardiac events

39. Phenotypic clustering of patients hospitalised for acute cardiac events in intensive cardiac care unit (ICCU): The ADDICT-ICCU trial

41. Incremental prognostic value of stress CMR for cardiovascular risk stratification in patients with known chronic kidney disease

42. Prevalence of illicit drugs use and association with in-hospital major adverse events in patients hospitalised for acute cardiac events: the ADDICT-ICCU Trial

43. Efficacy of simulation-based training on transoesophageal echocardiography learning in a multicentre randomised controlled trial: SIMULATOR study

45. Machine-learning score using stress CMR for death prediction in patients with suspected or known CAD

46. Prognostic value of a left atrioventricular coupling index (LACI) in pre- and post-menopausal women. from the multi-ethnic study of atherosclerosis (MESA)

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