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.
We would be happy to welcome you on February 3rd-4th, 2021 at the Cavendish Conference Centre in London and look forward to seeing you.
With best regards, Yours sincerely,
Alan Maisel, Alexander Lyon, Thomas F. Lüscher
In collaboration with
Under the Auspices of
Programme
WEDNESDAY, February 3rd, 2021
| 17:30-18:00 | Registration | ||
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18:00-19:30 | Opening Session: Artificial Intelligence / Big Data - Background Chairs: A. Maisel / A. Lyon |
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| 18:00 | Welcome and introduction | T.F. Lüscher |
| 18:15 | Role of digital technologies in the Covid-19 crisis | P. Friedman |
| 18:45 | Biomarkers and machine learning in cardiology – a marriage long overdue | A. Maisel |
| 19:15-19:30 |
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) |
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THURSDAY, February 4th, 2021
| 07:30-08:00 | Registration & Coffee | ||||
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08:00-10:15 | Session 1: Applying AI to the Specific Subspecialties in Cardiology Chairs: P. Friedman / T.F. Lüscher |
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| 08:00 | Multimarker approach to predict risk and outcome | L. Wallentin | ||
| 08:30 | Finding the patient with transthyretin cardiomyopathy | A. Wechalekar | ||
| 09:00 | Cardio-Oncology - an example where AI can improve patient care | A. Lyon | ||
| 09:30 | Using machine learning to separate type one and two MI | A. Beshiri | ||
| 10:00 | Panel discussion | |||
| 10:15-10:45 | COFFEE | |||
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10:45-12:30 | Session 2: Imaging, Genetics Chairs: A. Lyon / NN |
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| 10:45 | Machine learning and imaging in cardiology | P. Leeson |
| 11:05 | AI and coronary CT angiography | C. Antoniades |
| 11:25 | AI for valve disease – who what when for TAVI, Mitral clip, etc. | J.J. Bax |
| 11:55 | AI in genetics | H. Schunkert |
| 12:15 | Panel discussion | |
| 12:30-13:30 | LUNCH | |
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13:30-15:00 | Session 3: Miscellaneous Issues Chairs: J.J. Bax / NN |
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| 13:30 | Big data in GUCH | M. Gatzoulis |
| 13:50 | AI in cardiac pathology | J.L. Robertus |
| 14:10 | Quantifying the epidemiology and evolution of Covid-19 in real time | T. Stadler |
| 14:30 | A shortness of breath algorithm in the ED | A. Maisel |
| 14:50 | Panel discussion | |
| 15:00-15:30 | COFFEE | |
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15:30-17:00 | Session 4: The Future of Artificial Intelligence in Medicine Chairs: A. Maisel / A. Lyon / T.F. Lüscher |
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| 15:30 | AI in health care: The future is now | M. Cowie |
| 15:50 | Cardiology training in the digital era: opportunities and risks | P. Kirchhof |
| 16:10 | How industry can monetize AI | A. Triener |
| 16:30 | AI in medicine – where are we going? | R. Illing |
| 16:50 | Panel discussion | |
| 17:00-17:30 | Closing Remarks | |
| 17:30 | COCKTAIL RECEPTION | |
Contributors
Charalampos Antoniades
University of Oxford
Oxford, UK
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
Paul A. Friedman
Mayo Clinic
Rochester, US
Michael A. Gatzoulis
Royal Brompton & Harefield Hospitals
London, UK
Rowland Illing
Chief Medical Officer and Digital Strategy Officer Affidea
Amsterdam, NL
Paulus Kirchhof
University of Birmingham
Birmingham, UK
Paul Leeson
University of Oxford
Oxford, UK
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
Jan Lukas Robertus
Royal Brompton & Harefield Hospitals
London, UK
Heribert Schunkert
The German Heart Center
Munich, DE
Tanja Stadler
ETH Zürich
Zürich, CH
Alex Triener
Co-founder and CEO Brainstorm Medical
San Diego, US
Lars Wallentin
Uppsala University Hospital
Uppsala, SE
Ashutosh Wechalekar
Royal Free Hospital
London, UK
General Information
Registration
| Category | Price |
|---|---|
| Early registration fee (until December 31, 2020) | |
| Regular fee | GBP 160 |
| ESC associated members (please provide ESC-ID number) | GBP 140 |
| Residents, students (age<35) | GBP 80 |
| Registration fee from January 1, 2021 | |
| Regular fee | GBP 200 |
| ESC associated members (please provide ESC-ID number) | GBP 180 |
| Residents, students (age<35) | GBP 100 |
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 31st December 2020, 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 is submitted to the following medical societies as accredited continuing education:
- EACCME® , European Accreditation Council for Continuing Medical Education (ECMEC® credits)
- Federation of the Royal College of Physicians of the United Kingdom (CPD credits)