Big Data and Artificial Intelligence in Vascular Surgery: Time for Multidisciplinary Cross-Border Collaboration-Reference-Cited by-同舟云学术

Big Data and Artificial Intelligence in Vascular Surgery: Time for Multidisciplinary Cross-Border Collaboration

Published:2022-07-10 Issue:8 Volume:73 Page:697-700
ISSN:0003-3197
Container-title:Angiology
language:en
Short-container-title:Angiology

Author:

Lareyre Fabien¹²^ORCID,Behrendt Christian-Alexander³^ORCID,Chaudhuri Arindam⁴,Ayache Nicholas⁵⁶,Delingette Hervé⁵⁶,Raffort Juliette²⁶⁷

Affiliation:

1. Department of Vascular Surgery, Hospital of Antibes Juan-les-Pins, Antibes, France

2. Université Côte d’Azur, Inserm U1065, C3M, Nice, France

3. Research Group GermanVasc, Department of Vascular Medicine, University Heart and Vascular Centre UKE Hamburg, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany

4. Bedfordshire - Milton Keynes Vascular Centre, Bedfordshire Hospitals NHS Foundation Trust, Bedford, UK

5. Université Côte d’Azur Inria, EPIONE Team, Sophia Antipolis, France

6. Université Côte d’Azur 3IA Institute, France

7. Department of clinical Biochemistry, University Hospital of Nice, Nice, France

Funder

National Research Agency

Publisher

SAGE Publications

Subject

Cardiology and Cardiovascular Medicine

Link

http://journals.sagepub.com/doi/pdf/10.1177/00033197221113146

Reference40 articles.

1. Big data and real-world data-based medicine in the management of hypertension

2. The VASCUNET Manifesto on Data Privacy Compliant Real World Evidence

3. Big data in vascular surgery: registries, international collaboration and future directions

4. VASCUNET, VQI, and the International Consortium of Vascular Registries – Unique Collaborations for Quality Improvement in Vascular Surgery

5. https://vascunet.org (accessed 5th May 2022).

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