Rhythm classifier: artificial intelligence for rhythm classification in insertable cardiac monitor

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Rhythm classifier: artificial intelligence for rhythm classification in insertable cardiac monitor

Session: Breakthroughs in artificial intelligence-powered cardiac diagnosis and risk prediction

Topic: Artificial Intelligence (Machine Learning, Deep Learning)

Speaker: Mr S. Majumder (Minneapolis, US)

Event: ESC Congress 2024

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Mr Shubha Majumder

Medtronic, Inc., Minneapolis (United States of America)

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8 more presentations in this session

Machine learning approach for detection of valvular heart disease through digital cardiac auscultation: results from multi-center prospective cross-sectional study

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Speaker: Miss D. Wickremasinghe (London, GB)

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Speaker: Mr H. Zhang (London, GB)

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Breakthroughs in artificial intelligence-powered cardiac diagnosis and risk prediction

Speakers: Mr S. Majumder, Professor I. Jung, Mr E. Ntalianis, Doctor K. Patlatzoglou, Miss D. Wickremasinghe...

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ESC Congress 2024

30 August - 2 September 2024

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