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Programmdetails

Freie Vortragssitzungen

Digitale Trends in der interventionellen Kardiologie

Donnerstag, 4. April | 11:00 - 12:30 Uhr | Clinical Science Box 1

Vorsitz/Chair: Daniel Messiha (Essen), Melchior Seyfarth (Wuppertal)

Agenda

11:00
(V684)
Structured information from transthoracic echocardiography to predict obstructive CAD in patients undergoing conventional coronary angiography using artificial intelligence
B. A. Jurgeleit (Essen)
11:07
Diskussion
11:11
(V685)
5L3DVCG-AI for identification of cardiovascular risk in females is superior to cardiovascular risk factor scoring
C. Schmidt-Lucke (Berlin)
11:18
Diskussion
11:22
(V686)
Rapid Prediction of Cardiac Catheterization Necessity and Coronary Interventions in Emergency Room Patients from the 12-Lead ECG using a Convolutional Neural Network Architecture
A. Büscher (Münster)
11:29
Diskussion
11:33
(V687)
Artificial intelligence-based detection of occlusion myocardial infarction: first external validation in a German chest-pain unit cohort
S. Macherey-Meyer (Köln)
11:40
Diskussion
11:44
(V688)
Einfluss der Virtual-Reality-Ablenkung auf Schmerzen, Angst und Cortisolspiegel bei transfemoraler Transkatheter-Aortenklappen-Implantation
S. M. Ahsan (Essen)
11:51
Diskussion
11:55
(V689)
Impact of diabetes mellitus on the diagnostic reliability of QFR assessment for non-culprit lesions in patients with acute coronary syndrome
A. Erbay (Frankfurt am Main)
12:02
Diskussion
12:06
(V690)
Accuracy of simulated Fractional Flow Reserve (FFR) based on coronary angiography in bifurcation lesions: comparison with invasive FFR
F. Ammon (Erlangen)
12:13
Diskussion
12:17
(V691)
Comparison of vessel-fractional flow reserve (vFFR) and quantitative flow ratio (QFR) using instantaneous wave-free ratio (iFR) or resting full-cycle ratio (RFR) as reference
M. Antoniadis (Leipzig)
12:24
Diskussion
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