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

31 August 2019 (00:00 - 00:00)

Organised by:

Sign in to view the resources

Sign in for access options

About the speaker

Doctor Alejandra Frauenfelder

Lumen Foundation, Miami (United States of America)

13 More presentations in this session

Presentation thumbnail

Safe multidisciplinary management of new therapies: the ritmo project (real time continuous web monitoring)

Doctor L. Lupi (Brescia, IT)

Presentation thumbnail

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

Doctor L. Lupi (Brescia, IT)

Presentation thumbnail

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

Miss V. Bulkova (Brno, CZ)

Presentation thumbnail

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

Mr M. Samuelsson (Stockholm, SE)

Abstract Slides

Presentation thumbnail

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

Miss T. Proesmans (Hasselt, BE)

Abstract Slides

Access the full session

Session thumbnail

Poster Session 2 - Remote patient monitoring and telemedicine

The Event

ESC Congress 2019

31 August - 4 September 2019

You may be interested in

Congress Presentation

Real-world evaluation of an algorithmic machine-learning-guided testing approach in stable chest pain: a multinational, multicohort study

Congress Session

Evolutions in arrythmia and syncope management

Congress Presentation

State-of-the-art lecture on artificial intelligence guiding clinical diagnosis: from imaging to ECG

ESC 365 is supported by

novartis

Explore sponsored resources

ESC 365 is supported by

novartis

Explore sponsored resources