Speaker illustration

Doctor Arnas Karuzas

Lithuanian University of Health Sciences, Kaunas (Lithuania)

Education: Public institution Franciscan gymnasium, secondary education, honors degree Lithuanian University of Health Sciences (LUHS), master degree in medicine, medicine doctor, honors degree Employment history: LUHS hospital Kaunas Clinics, Cardiology department, Cardiology resident, MD (2017-until now) LUHS Institute of physiology and pharmacology, Teaching assistant (2019-until now) LUHS Development department, project coordinator (2019-until now) Publications: Early and late diastolic strain rate vs global longitudinal strain at rest and during dobutamine stress for the assessment of significant coronary artery stenosis in patients with a moderate and high probability of coronary artery disease, Echocardiography. 1512-1522. DOI: 10.1111/echo.13282. Accuracy of three-dimensional systolic dyssynchrony and sphericity indexes for identifying early left ventricular remodeling after acute myocardial infarction, Anatol J Cardiol. 2019 Jun;22(1):13-20. doi: 10.14744.

Automated evaluation of the left-sided heart volumes using machine learning during stress echocardiography: a multicenter stress echo 2030 study

Event: EACVI 2023

Topic: Artificial Intelligence (Machine Learning, Deep Learning)

Session: Artificial intelligence 2

Thumbnail

Deep learning for evaluating left atrium stress echocardiography: a proof of principle study

Event: ESC Congress 2022

Topic: Stress Echocardiography

Session: Advances in echocardiography technology

Thumbnail

Automated evaluation of the right-sided heart function and geometry using deep learning

Event: EACVI - Best of Imaging 2020

Topic: Hospital Information Systems, Electronic Medical Records, Clinical Decision Support

Session: ePoster session

Thumbnail

Accurate prediction of left ventricular diastolic dysfunction in 2D echocardiography using ensemble of deep convolutional neural networks

Event: ESC Congress 2020

Topic: Cardiovascular Image Processing

Session: e-Cardiology / Digital Health ePosters

Thumbnail

Deep learning in segmentation and function evaluation of right ventricle in 2D echocardiography

Event: EuroEcho 2019

Topic: Technology

Session: Artificial intelligence, deep-learning, 3D printing...what is the future of imaging?

Thumbnail

Artificial intelligence in echocardiography - Steps to automatic cardiac measurements in routine practice

Event: ESC Congress 2019

Topic: Cardiovascular Image Processing

Session: Remote patient monitoring and telemedicine

Thumbnail

The role of left ventricle myocardial regional deformation parameters during dobutamine stress to detect hemodynamically significant coronary artery stenoses

Event: EuroEcho-Imaging 2018

Topic: Stress Echocardiography

Session: Stress Echocardiography

Thumbnail

Left atrial deformation parameters for the assessment of hemodynamically significant coronary artery stenosis in patients with intermmediate pretest probability of coronary artery disease

Event: EuroEcho-Imaging 2017

Topic: Dobutamine stress echo

Session: Stress echo

Thumbnail

Global vs regional longitudinal strain at rest and during dobutamine stress for prediction of significant coronary artery stenosis

Event: ESC Congress 2016

Topic: Stress echo

Session: Best Posters in new observations in stress echocardiography

Thumbnail

ESC 365 is supported by