ESC 365 - ECGs reconsidered: what do the machines see that we don't?

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ECGs reconsidered: what do the machines see that we don't?

Session: Machine learning and digital biomarkers in clinical practice

Topic: Artificial Intelligence (Machine Learning, Deep Learning)

Speaker: Doctor Z. Attia (Rochester, US)

Event: ESC Congress 2023

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About the speaker

Doctor Zachi Attia

Mayo Clinic Hospital - St. Mary's Campus, Rochester (United States of America)

3 presentations

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4 more presentations in this session

Risk prediction by machines: the new normal?

Speaker: Doctor A. Chapman (Edinburgh, GB)

Artificial intelligence allows me to spend more time with my patients!

Speaker: Professor C. Lam (Singapore, SG)

Enhancing our vision: artificial intelligence-assisted multimodality imaging

Speaker: Professor I. Isgum (Amsterdam, NL)

Machine learning and digital biomarkers in clinical practice - discussion

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Machine learning and digital biomarkers in clinical practice

Speakers: Doctor Z. Attia, Doctor A. Chapman, Professor C. Lam, Professor I. Isgum

About the event

ESC Congress 2023

25 August - 28 August 2023

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