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 more.
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 September 20th-21st this year at the Hallam Conference Centre in London and look forward to seeing you.
With best regards, Yours sincerely,
Charalambos Antoniades, Alexander Lyon, Alan Maisel, Thomas F. Lüscher
Associated with
In Partnership with
Under the Auspices of
Programme
WEDNESDAY, September 20th, 2023
| 17:30 | REGISTRATION | ||
|
18:00 | OPENING SESSION Chairs: Charalambos Antoniades and Alexander Lyon |
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| 18:00 | Welcome and introduction | T.F. Lüscher, London |
| 18:10 | AI in the diagnosis of fibrillation | P. Friedman, Rochester |
| 18:30 | Apple watch: Am effective tool to diagnose arrhythmias? | C. Macrae, Boston |
| 18:50 | Data science and AI in cardiovascular imaging | P. Leeson, Oxford |
| 19:10 | The marriage of biomarkers and machine learning in acute CVD | A.S. Maisel, San |
| 19:30 | Panel discussion | |
| 20:00 | CROSSFUNCTIONAL NETWORKING | |
THURSDAY, September 21st, 2023
| 08:30 | REGISTRATION & COFFEE | ||||
|
09:00 | SESSION 2: MACHINE LEARNING FOR RISK AND OUTCOME PREDICTION Chairs: Alan S. Maisel and Thomas F. Lüscher |
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| 09:00 | Using AI to predict CV risk from routine CT | C. Antoniades, Oxford | ||
| 09:15 |
Machine learning-based prediction of adverse events following an ACS (2020 Acute Coronary Syndromes (ACS) in Patients Presenting without Persistent ST-Segment Elevation (Management of) Guidelines) |
F. D’Ascenzo, Turin | ||
| 09:30 |
Risk prediction in the acute setting in males and females with NSTE-ACS: The Grace 3 Score (2020 Acute Coronary Syndromes (ACS) in Patients Presenting without Persistent ST-Segment Elevation (Management of) Guidelines) |
F. Wenzl, Zurich | ||
| 09:45 | The future of digital tools for outcome prediction | D. Kotecha, Birmingham | ||
| 10:00 | Panel discussion | |||
| 10:30 | COFFEE | |||
|
11:00 | SESSION 3: GENETICS AND MULTIOMICS Chairs: John E. Deanfield and Emma Svennberg |
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| 11:00 | AI in genetics, an introduction | J. Erdmann, Lübeck |
| 11:15 | Polygenic risk scores or machine learning in predicting coronary artery disease status | H. Schunkert, Munich |
| 11:30 | New advances in troponin measurements | A.S. Maisel, San Diego |
| 11:45 | Using machine learning to harness the power of multiomics in cardiovascular medicine | M. Mayr, London |
| 12:00 | Panel discussion | |
| 12:30 | INDUSTRY SPONSORED SYMPOSIUM | |
| 13:00 | LUNCH | |
|
13:45 | SESSION 4: IMAGING Chairs: Heribert Schunkert and Charalambos Antoniades |
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| 13:45 | AI to phenotype adipose tissue and cardiometabolic disease | E. Oikonomou, New Haven |
| 14:00 | AI to measure coronary artery flow | J. Moon, London |
| 14:15 |
AI as a diagnostic tool for valve disease (2021 ESC/EACTS Guidelines for the management of valvular heart disease) |
J.J. Bax, Leiden |
| 14:30 | AI assisted echo diagnosis |
C. Lam, Singapore or A. Ziegler, Rotkreuz |
| 14:45 | Panel discussion | |
| 15:15 | COFFEE | |
|
15:45 | SESSION 5: CLINICAL APPLICATIONS OF AI Chairs: Manuel Mayr and Dipak Kotecha |
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| 15:45 | Ethics and digital health tools | E. Caiani, Milan |
| 16:00 |
AI to crack secondary prevention (2021 ESC Guidelines on cardiovascular disease prevention in clinical practice) |
F. Asselbergs, Utrecht |
| 16:15 | AI in the diagnosis and management of arrhythmia | E. Svennberg, Stockholm |
| 16:30 |
Guidelines and risk prediction: How to include AI in prognostic models? (2021 ESC Guidelines on cardiovascular disease prevention in clinical practice) |
J.E. Deanfield, London |
| 16:45 | Panel discussion | |
| 17:15 | CLOSING REMARKS | |
Teaching Faculty
Charalambos Antoniades
University of Oxford
Oxford, UK
Folkert Asselbergs
UMC Utrecht
Utrecht, NL
Jeroen J. Bax
Leiden University Medical Center
Leiden, NL
Enrico G. Caiani
Politecnico die Milano
Milano, IT
Fabrizio D’Ascenzo
University of Turin
Turin, IT
John E. Deanfield
University College London and Barts Heart Centre
London, UK
Jeanette Erdmann
University of Lübeck
Lübeck, GER
Paul A. Friedman
Mayo Clinic
Rochester, MN, USA
Dipak Kotecha
University of Birmingham
Birmingham, UK
Carolyn Lam
National University Heart Center Singapore
Singapore
Paul Leeson
John Radcliffe Hospital
Oxford, UK
Thomas F. Lüscher
Royal Brompton and Harefield hospitals
London, UK
Alexander Lyon
Royal Brompton and Harefield hospitals
London, UK
Calum Macrae
Brigham and Women's Hospital
Boston, MA, USA
Alan S. Maisel
VA San Diego Healthcare System
San Diego, CA, USA
Manuel Mayr
King’s College London
London, UK
James Moon
University College London and Barts Heart Centre
London, UK
Evangelos Oikonomou
Yale School of Medicine
New Haven, CT, USA
Heribert Schunkert
German Heart Centre Munich
Munich, GER
Emma Svennberg
Karolinska University Hospital
Stockholm, SE
Florian Wenzl
University of Zurich
Zurich, CH
André Ziegler
Roche Diagnostics International Ltd.
Rotkreuz, CH
General Information
Registration
| Category | Fee |
|---|---|
| Early registration fee (until August 20, 2023) | |
| Regular fee | GBP 160 |
| ESC associated members (please provide ESC-ID number) | GBP 140 |
| Residents, students (age<40) | GBP 80 |
| Registration fee from August 21, 2023 | |
| Regular fee | GBP 200 |
| ESC associated members (please provide ESC-ID number) | GBP 180 |
| Residents, students (age<40) | 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 1st September 2023, 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 2023 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)