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Assistant Professor Jeremy Slivnick

University of Chicago Medicine, Chicago (United States of America)

Dr. Slivnick is a multimodality cardiac imager at the University of Chicago with expertise in echocardiography, cardiovascular magnetic resonance, and computed tomography. His research is focused on applications of echocardiography and cardiac magnetic resonance in the diagnosis of cardiovascular diseases, namely cardiac amyloidosis. His particular interest is in cardiac amyloidosis where he has worked to improve the CMR and echocardiographic detection and differentiation of cardiac amyloidosis and its subtypes including with the use of artificial intelligence. In addition to his research, Dr. Slivnick is involved in caring for patients as part of the multidisciplinary hypertrophic cardiomyopathy team at the University of Chicago. In his spare time, he enjoys running, cycling, playing tennis, and spending time with his wife and three children.

Fused Echocardiographic and Clinical Deep Learning model for Cardiac Amyloidosis Detection

Event: ESC Congress 2025

Topic: Myocardial Disease

Session: Late-Breaking Clinical Science: cardiovascular imaging and AI

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ASE: Young Investigator Awardee presentation: "Deep learning analysis of echocardiographic images for automated classification of regional wall motion"

Event: EuroEcho-Imaging 2024

Topic: Cross-Modality and Multi-Modality Imaging Topics

Session: Innovations in echocardiographic techniques and applications – presentations of YIA winners from ASE and JSE

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