Jakub Bahyl
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View article: A smartphone based AI model to detect left ventricular systolic dysfunction on 12-lead ECG
A smartphone based AI model to detect left ventricular systolic dysfunction on 12-lead ECG Open
Background Despite echocardiography being essential for cardiac assessment, a point-of-care tool for rapid left ventricular ejection fraction (LVEF) evaluation is lacking in current clinical practice, highlighting the need for a widescale,…
View article: Validation of an automated artificial intelligence system for 12‑lead ECG interpretation
Validation of an automated artificial intelligence system for 12‑lead ECG interpretation Open
Our results demonstrate the AI-powered ECG model's ability to accurately identify electrocardiographic abnormalities from the 12‑lead ECG, highlighting its potential as a clinical tool for healthcare professionals.
View article: International evaluation of an artificial intelligence–powered electrocardiogram model detecting acute coronary occlusion myocardial infarction
International evaluation of an artificial intelligence–powered electrocardiogram model detecting acute coronary occlusion myocardial infarction Open
Aims A majority of acute coronary syndromes (ACS) present without typical ST elevation. One-third of non–ST-elevation myocardial infarction (NSTEMI) patients have an acutely occluded culprit coronary artery [occlusion myocardial infarction…
View article: Poor prognosis of total culprit artery occlusion in patients presenting with NSTEMI
Poor prognosis of total culprit artery occlusion in patients presenting with NSTEMI Open
Background The prognosis of STEMI and NSTEMI patients stratified according to invasive angiographic findings of an occluded culprit coronary, i.e., occlusion myocardial infarction (OMI), remains unclear. Purpose This retrospective single-c…
View article: Validation of an artificial intelligence model for 12-lead ECG interpretation
Validation of an artificial intelligence model for 12-lead ECG interpretation Open
Background The electrocardiogram (ECG) is one of the most accessible and comprehensive diagnostic tools to assess cardiac abnormalities. However, automated ECG interpretation remains inferior to physician interpretation in terms of accurac…
View article: INTERNATIONAL EVALUATION OF AN ARTIFICIAL INTELLIGENCE-POWERED ECG MODEL DETECTING OCCLUSION MYOCARDIAL INFARCTION
INTERNATIONAL EVALUATION OF AN ARTIFICIAL INTELLIGENCE-POWERED ECG MODEL DETECTING OCCLUSION MYOCARDIAL INFARCTION Open
Background One third of Non-ST-elevation myocardial infarction (NSTEMI) patients present with an acutely occluded culprit coronary artery (occlusion myocardial infarction [OMI]), which is associated with poor short and long-term outcomes d…