Wearable ECG Monitoring Technology identifies subjects with a prolonged QT using Deep Learning Algorithms

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Wearable ECG Monitoring Technology identifies subjects with a prolonged QT using Deep Learning Algorithms

Session: Artificial Intelligence for Arrhythmias

Topic: Arrhythmias, General

Speaker: Professor P. Schwartz (Cusano Milanino, IT) Mr R. Smith (Oronoco, US)

Event: ESC Congress 2019

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About the speakers

Professor Peter J Schwartz

Italian Auxological Institute IRCCS, Cusano Milanino (Italy)

11 presentations

2 followers

Mr Richard Smith

Oronoco (United States of America)

1 presentation

0 follower

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Cardio-linguistics: Using Artificial Intelligence (AI) to Reframe Typical & Atypical Angina

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Patient 360 - Humanized virtual reality interactive patient

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Artificial Intelligence for Arrhythmias : Vote for the best technology and innovation presented.

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Access the full session

Artificial Intelligence for Arrhythmias

Speakers: Professor P. Schwartz, Mr R. Smith, Doctor R. Herman, Doctor K. Dinakar, Professor M. Canesin

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About the event

ESC Congress 2019

31 August - 4 September 2019

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