Artificial Intelligence in Cardiovascular Disease

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About the course

What every clinician needs to know

A renowned international Faculty in the field of AI will provide an insight on their experience, new applications and the impact of AI on future clinical decision making.

Artificial intelligence and digital health are rapidly evolving disciplines and will be transforming healthcare. Applications of AI in cardiovascular medicine are machine learning techniques for diagnostic procedures including imaging modalities and biomarkers and predictive analytics for personalised therapies and improved outcomes. Fields of application include genetics, cardiomyopathy, valve disease, GUCH, cardiac pathology and many more. Due to the current Covid-19 situation, the conference will be held in a hybrid version with live broadcasting.

 Early fee (until March 31, 2021) ESC / Association Members - £140

 Early fee (until March 31, 2021) Residents, students (age <35) - £80

 Regular fee - £200

 Regular fee ESC / Association Members - £180

 Regular fee Residents, students (age <35) - £100

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