Artificial Intelligence and Health Technologies in Cardiovascular Disease 2023
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Type of event
virtual
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 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 virtually welcome you on September 20th-21st this year and look forward to seeing you.
With best regards, Yours sincerely,
Charalambos Antoniades
Alexander Lyon
Alan Maisel
Thomas F. Lüscher
Programme
WEDNESDAY, September 20th, 2023, UK Time
| 16:00 - 19:00 | SESSION 1: OPENING SESSION Chairs: Charalambos Antoniades and Alan Maisel |
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| 16:00-16:10 | Welcome and introduction | T.F. Lüscher, London |
| 16:10-16:30 | AI in cardiovascular medicine: Update 2023 | P. Friedman, Rochester |
| 16:30-16:40 | Q&A | |
| 16:40-17:00 | Wearable tools to diagnose arrhythmias | A. Bauer, Innsbruck |
| 17:00-17:10 | Q&A | |
| 17:10-17:30 | Data science and AI in cardiovascular imaging | P. Leeson, Oxford |
| 17:30-17:40 | Q&A | |
| 17:40-18:00 | The marriage of biomarkers and machine learning in acute CVD | A.S. Maisel, San Diego |
| 18:00-18:10 | Q&A | |
| 18:10-18:30 | Wearable cardiac ultrasound imager: a new frontier | S. Xu, San Diego |
| 18:30-18:40 | Q&A | |
| 18:45-19:00 | Wrap Up Session 1 | |
THURSDAY, September 21st, 2023, UK time
| 09:00 - 10:30 | SESSION 2: MACHINE LEARNING FOR RISK AND OUTCOME PREDICTION Chairs: Thomas F. Lüscher and Charalambos Antoniades |
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| 09:00-9:15 | Using AI to predict CV risk from routine CT | C. Antoniades, Oxford | ||
| 09:15-09:20 | Q&A | |||
| 09:20-09:35 | Machine learning-based prediction of in-hospital death for patients with Tako-Tsubo Syndrome (2020 Acute Coronary Syndromes (ACS) in Patients Presenting without Persistent ST-Segment Elevation (Management of) Guidelines) |
O. De Filippo, Turin | ||
| 09:35-09:40 | Q&A | |||
| 09:40-09:55 | 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 | ||
| 09:55-10:00 | Q&A | |||
| 10:00-10:15 | The future of digital tools for outcome prediction | D. Kotecha, Birmingham | ||
| 10:15-10:20 | Q&A | |||
| 10:20-10:30 | Wrap Up Session 2 | |||
| 10:30 - 11:00 COFFEE BREAK | ||||
| 11:00 - 12:30 | SESSION 3: GENETICS AND PROTEOMICS Chairs: John E. Deanfield and Emma Svennberg |
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| 11:00-11:15 | Polygenic risk scores or machine learning in predicting coronary artery disease status | H. Schunkert, Munich |
| 11:15-11:20 | Q&A | |
| 11:20-11:35 | Proteomics-enabled deep learning machine algorithms can enhance prediction of mortality | K.-P. Kresoja, Leipzig |
| 11:35-11:40 | Q&A | |
| 11:40-11:55 | Integrating fundamental discovery and translation with clinical care using AI | C. Macrae, Boston |
| 11:55-12:00 | Q&A | |
| 12:00-12:10 | Wrap Up Session 3 | |
| 12:15 - 13:15 LUNCH BREAK | ||
| 13:15 - 15:00 | SESSION 4: IMAGING AND DIGITAL ALGORITHMS Chairs: Charalambos Antoniades and Thomas F. Lüscher |
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| 13:15-13:30 | AI to phenotype adipose tissue and cardiometabolic disease | E. Oikonomou, New Haven |
| 13:30-13:35 | Q&A | |
| 13:35-13:50 | AI to measure coronary artery flow | J. Moon, London |
| 13:50-13:55 | Q&A | |
| 13:55-14:10 | AI as a diagnostic tool for valve disease (2021 ESC/EACTS Guidelines for the management of valvular heart disease) |
J.J. Bax, Leiden |
| 14:10-14:15 | Q&A | |
| 14:15-14:30 | Medical value and use of digital algorithms in decision making support | S. Blankenberg, Hamburg |
| 14:30-14:35 | Q&A | |
| 14:35-14:45 | Wrap Up Session 4 | |
| 14:45 - 15:15 COFFEE BREAK | ||
| 15:15 - 16:45 | SESSION 5: CLINICAL APPLICATIONS OF AI Chairs:Thomas F. Lüscher and Alan Maisel |
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| 15:15-15:30 | How to include AI in secondary prevention (2021 ESC Guidelines on cardiovascular disease prevention in clinical practice) |
F. Asselbergs, Amsterdam |
| 15:30-15:35 | Q&A | |
| 15:35-15:50 | Ethics and digital health tools | E. Caiani, Milan |
| 15:50-15:55 | Q&A | |
| 15:55-16:10 | AI in the diagnosis and management of arrhythmia | E. Svennberg, Stockholm |
| 16:10-16:15 | Q&A | |
| 16:15-16:30 | AI in transthyretin cardiac amyloidosis: Is it time for clinical application? | M. Grogan, Rochester |
| 16:30-16:35 | Q&A | |
| 16:35-16:50 | New advances in troponin measurements | A. Maisel, San Diego |
| 16:50-16:55 | Q&A | |
| 16:55-17:00 | Wrap Up Session 5 | |
| 17:00 | CLOSING REMARKS | |
Teaching Faculty
Charalambos Antoniades
University of Oxford
Oxford, UK
Folkert Asselbergs
Amsterdam Heart Center
Amsterdam, NL
Axel Bauer
University Hospital Innsbruck
Innsbruck, AT
Jeroen J. Bax
Leiden University Medical Center
Leiden, NL
Stefan Blankenberg
University Heart & Vascular Center
Hamburg, DE
Enrico G. Caiani
Politecnico die Milano
Milano, IT
Ovidio De Filippo
University of Turin
Turin, IT
John E. Deanfield
University College London
London, UK
Paul A. Friedman
Mayo Clinic
Rochester, MN, USA
Martha Grogan
Mayo Clinic
Rochester, MN, USA
Dipak Kotecha
University of Birmingham
Birmingham, UK
Karl-Patrik Kresoja
Heart Center of Leipzig
Leipzig, DE
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
James Moon
University College London
London, UK
Evangelos Oikonomou
Yale School of Medicine
New Haven, CT, USA
Heribert Schunkert
German Heart Centre Munich
Munich, DE
Emma Svennberg
Karolinska University Hospital
Stockholm, SE
Florian Wenzl
University of Zurich
Zurich, CH
Sheng Xu
University of California, San Diego
San Diego, CA, USA
Information
Registration (Virtual Event)
| Category | Fee |
|---|---|
| Early registration fee (until August 20, 2023) | |
| Regular fee | GBP 105 |
| Residents, students (age<40) | GBP 50 |
| Registration fee from August 21, 2023 | |
| Regular fee | GBP 115 |
| Residents, students (age<40) | 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 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
Accreditation
Artificial Intelligence and Health Technologies in Cardiovascular Disease 2023' has been accredited by the European Accreditation Council for Continuing Medical Education (EACCME®) with 9 European CME credits (ECMEC®s) and approved by the Federation of the Royal Colleges of Physicians of the United Kingdom for 10 category 1 (external) CPD credit(s).
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