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Artificial Intelligence in Cardiovascular Disease

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City
Cavendish Conference Centre, London
Type of event
on site

Invitation

Dear Colleagues

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 moare.

We have brought together key opinion leaders and recognised experts in the field of AI to provide an insight on their experience, new applications and the impact of AI on future clinical decision making.

The target audience are cardiologists, oncologists, cardiac surgeons, internists, endocrinologists as well as imaging and device specialists from clinics and industry.

Due to the current Covid-19 situation, the conference will be held in a hybrid version with live broadcasting.

We would be happy to welcome you on May 26th-27th, 2021 either at the Cavendish Conference Centre in London or virtually and look forward to seeing you.

With best regards, Yours sincerely,

Alan Maisel, Alexander Lyon, Thomas F. Lüscher

In collaboration with
 

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Under the Auspices of
 

Logo ZHH und LHH

 

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Programme

WEDNESDAY, May 26th, 2021

17:30-18:00 | Registration
18:00-20:00 | Opening Session: Artificial Intelligence / Big Data - Background
Chairs: A. Maisel / A. Lyon
18:00-18:15 Welcome and introduction T.F. Lüscher
18:15-18:45 Role of digital technologies in the Covid-19 crisis P. Friedman
18:45-19:15 Biomarkers and machine learning in cardiology – a marriage long overdue A. Maisel
19:15-20:00 Panel discussion: AI in cardiovascular medicine - strenghts and pitfalls
Panellists: P. Friedman, T.F. Lüscher, A. Lyon, A. Maisel, A. Ziegler (Roche), A. Beshiri (Abbott)
 

 

THURSDAY, May 27th, 2021

07:30-08:00 | Registration & Coffee
08:00-10:15 | Session 1: Applying AI to the Specific Subspecialties in Cardiology
Chairs: P. Friedman / T.F. Lüscher
08:00-08:30 Multimarker approach to predict risk and outcome L. Wallentin
08:30-09:00 Finding the patient with transthyretin cardiomyopathy A. Wechalekar
09:00-09:30 Cardio-Oncology - an example where AI can improve patient care A. Lyon / T. Ramalingam
09:30-10:00 Using machine learning to separate type one and two MI A. Beshiri
10:00-10:15 Panel discussion  
10:15-10:45 COFFEE  

 

10:45-12:30 | Session 2: Imaging, Genetics
Chairs: A. Lyon / NN
10:45-11:05 Machine learning and imaging in cardiology P. Leeson
11:05-11:25 AI and coronary CT angiography C. Antoniades
11:25-11:55 AI for valve disease – who what when for TAVI, Mitral clip, etc. J.J. Bax
11:55-12:15 AI in genetics J. Erdmann
12:15-12:30 Panel discussion  
12:30-13:30 LUNCH  

 

13:30-15:00 | Session 3: Miscellaneous Issues
Chairs: J.J. Bax / NN
13:30-13:50 Big data in GUCH M. Gatzoulis
13:50-14:10 AI in cardiac pathology J.L. Robertus
14:10-14:30 AI to crack secondary prevention F. Asselbergs
14:30-14:50 A shortness of breath algorithm in the ED A. Maisel
14:50-15:10 Machine learning tool for risk prediction in acute coronary syndrome F. D'Ascenzo
15:10-15:30 Panel discussion  
15:30-16:00 COFFEE  

 

16:00-17:45 | Session 4: The Future of Artificial Intelligence in Medicine
Chairs: A. Maisel / A. Lyon / T.F. Lüscher
16:00-16:20 AI in health care: The future is now M. Cowie
16:20-16:40 Cardiology training in the digital era: opportunities and risks P. Kirchhof
16:40-17:00 Point-of-care, high sensitivity troponin testing and the future of AI P. Lopez-Ayala
17:00-17:20 AI in medicine – where are we going? R. Illing
17:20-17:30  Panel discussion  
17:30-17:45 Closing Remarks  
17:45 COCKTAIL RECEPTION  

 

Speakers

Charalampos Antoniades
University of Oxford
Oxford, UK

Folkert Asselbergs
UMC Utrecht
Utrecht, NL

Jeroen J. Bax
Leiden University Medical Center
Leiden, NL

Agim Beshiri
Senior Medical Director, AbbottDiagnostics
Abbott Park, US

Martin Cowie
Imperial College London
London, UK

Fabrizio D'Ascenzo
University of Turin
Turin, IT

Jeannette Erdmann
University of Lübeck
Lübeck, DE

Paul A. Friedman
Mayo Clinic
Rochester, US

Michael A. Gatzoulis
Royal Brompton & Harefield Hospitals
London, UK

Rowland Illing
Director & Chief Medical Offcer
International Public Sector Health
Amazon Web Services
Washington, US

Paulus Kirchhof
UKE Hamburg
Hamburg, Germany

Paul Leeson
University of Oxford
Oxford, UK

Pedro Lopez-Ayala
University Hospital Basel
and Cardiovascular Research
Institute Basel (CRIB),
Basel Switzerland

Thomas F. Lüscher
Royal Brompton & Harefield Hospitals
London, UK
 

Alex Lyon
Royal Brompton & Harefield Hospitals
London, UK

Alan S. Maisel
VA San Diego Healthcare Systems
San Diego, US

Tharshini Ramalingam
Royal Brompton & Harefield Hospitals
London, UK

Jan Lukas Robertus
Royal Brompton & Harefield Hospitals
London, UK

Lars Wallentin
Uppsala University Hospital
Uppsala, SE

Ashutosh Wechalekar
Royal Free Hospital
London, UK

Information

Registration

Category In-Person  Virtual
Early registration fee (until March 31, 2021)    
Regular fee GBP 160 GBP 105
ESC associated members (please provide ESC-ID number) GBP 140 GBP 95
Residents, students (age<35) GBP 80 GBP 50
     
Registration fee from April 1, 2021    
Regular fee GBP 200 GBP 115
ESC associated members (please provide ESC-ID number) GBP 180 GBP 105
Residents, students (age<35) GBP 100 GBP 50


Registration will be confirmed upon receipt of payment.

Please note that UK banks may charge high fees for international bank transfers. We therefore recommend payment by credit card.

Modification & Cancellation

All modifications or cancellations must be notified in writing (by mail, fax or e-mail) to Zurich Heart House. For each modification requested by the participant, GBP 15 will be charged for administrative costs. In case of cancellation up to 30th April 2021, deposits will be refunded less 35% for administrative costs. After this date, no refund will be possible.

Organisation

Zurich Heart House, Foundation for Cardiovascular Research
Dr. Ruth Amstein
Christine Lohmann
Hottingerstrasse 14, CH-8032 Zurich, Switzerland
Phone +41 (0) 44 250 40 83, Fax +41 (0) 44 250 40 90

Venue

Cavendish Conference Centre
22 Duchess Mews, London W1G 9DT
www.cavendishvenues.co.uk

Accreditation

Artificial Intelligence in Cardiovascular Disease 2021 has been accredited by the:

  • European Accreditation Council for Continuing Medical Education (EACCME®) with 8 European CME credits (ECMEC®s).
  • Federation of the Royal College of Physicians of the United Kingdom (CPD credits) with 9 category 1 (external) CPD credits.