ESC 365 - Expanded adaptation of an artificial intelligence model for predicting chemotherapy-induced cardiotoxicity using baseline electrocardiograms

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Expanded adaptation of an artificial intelligence model for predicting chemotherapy-induced cardiotoxicity using baseline electrocardiograms

Session: Young Investigator Awards Session in Clinical Cardiology

Topic: Cardio-Oncology

Speaker: Doctor R. Yagi (Boston, US)

Event: ESC Congress 2022

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About the speaker

Doctor Ryuichiro Yagi

Brigham and Women's Hospital, Harvard Medical School, Boston (United States of America)

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3 more presentations in this session

Risk stratification in Arrhythmogenic Right Ventricular Cardiomyopathy: the impact of genotype on the 2019 ARVC risk calculator

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Sudden cardiac death during exercise in young individuals with hypertrophic cardiomyopathy

Speaker: Doctor R. Bhatia (London, GB)

Prediction of worsening heart failure in patients with hypertrophic cardiomyopathy using plasma proteomics profiling

Speaker: Doctor L. Liang (New York, US)

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Young Investigator Awards Session in Clinical Cardiology

Speakers: Doctor R. Yagi, Doctor A. Protonotarios, Doctor R. Bhatia, Doctor L. Liang

About the event

ESC Congress 2022

26 August - 29 August 2022

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