2023
|
2027
Prediction of Sudden Cardiac Death
Developing AI-based personalized prediction of Sudden Cardiac Death based on multimodal data
QURAI
AREA RESEARCH
Category: AI for Cardiology
Research
CARA Lab
Developing AI trustworthy AI-solutions for real-time analysis of coronary optical coherence tomography (OCT) images
Projects
2021
|
2026
Identification of deterioration in non-hospitalized heart failure patients
Developing AI-based decision-making using multi-modal data to stratify hospitalization risk in heart failure
2020
|
2023
AI for risk stratification and decision making in patients with coronary heart disease
Analyzing cardiology data for improvement of the patient care
2020
|
2022
Early detection of individuals at risk of cardiac events
Developing deep learning techniques for accurate selection of patients at risk of acute coronary syndrome or sudden cardiac death from CT scans.
2020
|
2024
Non-invasive and intravascular identification and drug-eluting balloon treatment of vulnerable lipid-rich plaques
Developing non-invasive AI-based method that detects and characterizes lipid-rich plaque in computed tomography coronary angiography.
2020
|
2023
Cardiac arrhythmia in patients with congenital heart disease
Developing an algorithm that analyzes single-lead ECG to identify cardiac arrhythmia.
2017
|
2022
DLMedIA: Dynamic deep learning in cardiac disease
Developing dynamic learning strategies for deep learning systems in clinical environments.
2017
|
2022
DLMedIA: Deep transfer learning in cardiovascular disease
Developing deep transfer learning techniques to effectively analyze medical imaging data with variation in scanners, scan protocols, and patient populations.