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Artificial intelligence M-health

Event: ESC CONGRESS 2019
Topic: e-Cardiology/Digital Health
Session type: Moderated Posters
Date: 1 September 2019
Time: 12:40 - 13:30

Congress Session

6 presentations in this session

Deep and machine learning models to improve risk prediction of cardiovascular disease using data extraction from electronic health records.

Speaker: Mr I. Korsakov (Saint-Petersburg, RU)
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Population-wide disease trajectories in ischaemic heart disease

Speaker: Doctor A. Haue (Copenhagen, DK)
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Machine learning versus classic electrocardiographic criteria for left ventricular hypertrophy in a young pre-participation cohort: results from the SAFE protocol study

Speaker: Doctor G. Sng (Singapore, SG)
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Artificial intelligence in echocardiography for standard clinical metrics

Speaker: Mr W. Hewitt (Auckland, NZ)
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A European randomised controlled trial for m-health guided cardiac rehabilitation in the elderly; results of the EU-CaRE RCT study

Speaker: Doctor E. de Kluiver (Zwolle, NL)
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Global telemedicine initiatives for combating ami

Speaker: Doctor S. Mehta (Miami, US)
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6 speakers from this session

Mr Igor Korsakov

The Almazov National Medical Research Centre, Saint-Petersburg (Russian Federation)
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Doctor Amalie Dahl Haue

Rigshospitalet - Copenhagen University Hospital, Copenhagen (Denmark)
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Doctor Gerald Sng

Singapore General Hospital Pte Ltd, Singapore (Singapore)
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Mr William Campbell Hewitt

The University of Auckland, Auckland (New Zealand)
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Doctor Ed de Kluiver

Isala Hospital, Zwolle (Netherlands (The))
1 presentation
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Doctor Sameer Mehta

Lumen Foundation, Miami (United States of America)
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