ESC 365 - Artificial intelligence for automated left ventricular systolic dysfunction detection using a wearable cardiac patch incorporated with synchronized phonocardiogram and electrocardiogram

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Artificial intelligence for automated left ventricular systolic dysfunction detection using a wearable cardiac patch incorporated with synchronized phonocardiogram and electrocardiogram

Session: Young Investigator Award Session in Heart Failure and Cardiomyopathies

Topic: Telehealth

Speaker: Doctor W. Zhang (Shanghai, CN)

Event: ESC Congress 2024

Congress Presentation

About the speaker

Doctor Wenli Zhang

Rui Jin Hospital- Shanghai Jiaotong University School of Medicine, Shanghai (China)

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3 more presentations in this session

Acute kidney injury as a risk factor for heart failure hospitalisation after major non-cardiac surgery

Speaker: Mr R. Kaufmann (Basel, CH)

Associations of different definitions of iron deficiency with cardiac structure and function, congestion, exercise capacity and prognosis in heart failure

Speaker: Doctor N. Pugliese (Pisa, IT)

Proteomics-based computational modelling of myocardial metabolism for personalized phenotyping and outcome prediction in advanced heart failure

Speaker: Doctor N. Beyhoff (Oxford, GB)

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Young Investigator Award Session in Heart Failure and Cardiomyopathies

Speakers: Doctor W. Zhang, Mr R. Kaufmann, Doctor N. Pugliese, Doctor N. Beyhoff

About the event

ESC Congress 2024

30 August - 2 September 2024

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