ESC 365 - Artificial intelligence in cardiology by clinical decision support system to predict correct diagnosis in subjects with stable chest pain from ARTICA co-operative database.

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Artificial intelligence in cardiology by clinical decision support system to predict correct diagnosis in subjects with stable chest pain from ARTICA co-operative database.

Session: Best Posters 4 - Best Posters in e-cardiology

Topic: e-Cardiology other

Speaker: Assistant Professor M. Mazzanti (London, GB)

Event: ESC Congress 2017

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Assistant Professor Marco Mazzanti

St Bartholomew's Hospital, London (United Kingdom of Great Britain & Northern Ireland)

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4 more presentations in this session

Discussant: Best Posters in e-cardiology

Non-publication of clinical trials in cardiovascular medicine: a retrospective, cross-sectional analysis

Speaker: Doctor A. Roddick (Oxford, GB)

Cross-institute validation of an engine that automatically detects actionable quality assurance (QA) rules for echocardiogram reporting

Speaker: Mr M. Sevenster (Cambridge, US)

Usefulness of posterior leads derived from the 18-lead electrocardiogram in the diagnosis of posterior myocardial infarction.

Speaker: Doctor Y. Igarashi (Tokyo, JP)

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Best Posters 4 - Best Posters in e-cardiology

Speakers: Assistant Professor M. Mazzanti, Doctor A. Roddick, Mr M. Sevenster, Doctor Y. Igarashi

About the event

ESC Congress 2017

26 August - 30 August 2017

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