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Can physicians trust a machine learning algorithm to diagnose st elevation myocardial infarction?

Topic: Artificial Intelligence (Machine Learning, Deep Learning)

Congress Presentation

About the speaker

Doctor Alejandra Frauenfelder

Lumen Foundation, Miami (United States of America)
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Safe multidisciplinary management of new therapies: the ritmo project (real time continuous web monitoring)

Speaker: Doctor L. Lupi (Brescia, IT)

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A telemonitoring service approved by the ministry of health for a large-scale screening of silent and symptomatic atrial fibrillation

Speaker: Doctor L. Lupi (Brescia, IT)

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Atrial fibrillation detection by integrated trans-telephonic ecg monitoring after cryptogenic stroke in the years 2016-2018 in the Czech and Slovak Republics

Speaker: Miss V. Bulkova (Brno, CZ)

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Evaluation of an enhanced, cloud-based AF-detection algorithm based on real-world arrhythmic recordings

Speaker: Mr M. Samuelsson (Stockholm, SE)

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Preliminary results of the FLASH-AF: Validation of the device independent nature of a pulse deriving smartphone application for the detection of atrial fibrillation

Speaker: Miss T. Proesmans (Hasselt, BE)

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Access the full session

Poster Session 2 - Remote patient monitoring and telemedicine

Speakers: Doctor A. Frauenfelder, Doctor L. Lupi, Doctor L. Lupi, Miss V. Bulkova, Mr M. Samuelsson...
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About the event

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ESC Congress 2019

31 August - 4 September 2019

Sessions Presentations