Sage Journals: Discover world-class research

Abstract

Keywords

artificial intelligence cardiovascular diseases big data vascular surgery multidisciplinary collaboration

Get full access to this article

View all access options for this article.

References

Okada

. Big data and real-world data-based medicine in the management of hypertension. Hypertens Res. 2021;44:147-53.

Behrendt

Muller

Venermo

, et al. The VASCUNET manifesto on data privacy compliant real world evidence. Eur J Vasc Endovasc Surg. 2020;60:942-3.

Sutzko

Mani

Behrendt

Wanhainen

Beck

. Big data in vascular surgery: registries, international collaboration and future directions. J Intern Med. 2020;288:51-61.

Behrendt

Venermo

Cronenwett

, et al. VASCUNET, VQI, and the international consortium of vascular registries - unique collaborations for quality improvement in vascular surgery. Eur J Vasc Endovasc Surg. 2019;58:792-3.

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

https://www.vqi.org/about/ (accessed 5th May 2022).

https://www.mdepinet.net/icvr (accessed 5th May 2022).

https://eurovascresearch.com (accessed 5th May 2022).

https://ec.europa.eu/health/ehealth-digital-health-and-care/european-health-data-space_en (accessed 6th May 2022).

10.

Lim

Tison

Delling

. Artificial intelligence in cardiovascular imaging. Methodist Debakey Cardiovasc J. 2020;16:138-45.

11.

Sermesant

Delingette

Cochet

Jais

Ayache

. Applications of artificial intelligence in cardiovascular imaging. Nat Rev Cardiol. 2021;18:600-9.

12.

Feridooni

Cuen-Ojeda

, et al. Machine learning in vascular surgery: a systematic review and critical appraisal. NPJ Digit Med. 2022;5:7.

13.

Raffort

Adam

Carrier

, et al. Artificial intelligence in abdominal aortic aneurysm. J Vasc Surg. 2020;72:321-33. e1.

14.

Clemmensen

Kjaersgaard

. Data Representativity for Machine Learning and AI Systems. https://arxiv.org/abs/2203.04706 (accessed 6th June 2022).

15.

https://grand-challenge.org (accessed 12th June 2022).

16.

Mirchev

Mircheva

Kerekovska

. The Academic Viewpoint on Patient Data Ownership in the Context of Big Data: Scoping Review. J Med Internet Res. 2020;22:e22214.

17.

https://gdpr.eu/what-is-gdpr/ (accessed 8th May 2022).

18.

Beckmann

Dittmer

Jaschke

, et al. Electronic patient record and its effects on social aspects of interprofessional collaboration and clinical workflows in hospitals (eCoCo): a mixed methods study protocol. BMC Health Serv Res. 2021;21:377.

19.

Oliva

Grassi

Vetrugno

, et al. Management of medico-legal risks in digital health era: a scoping review. Front Med (Lausanne). 2021;8:821756.

20.

Reddy

Allan

Coghlan

Cooper

. A governance model for the application of AI in health care. J Am Med Inform Assoc. 2020;27:491-7.

21.

Sheller

Edwards

Reina

, et al. Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data. Sci Rep. 2020;10:12598.

22.

Mehmood

IN, Xiang

Hua

Guo

, Protection of Big Data Privacy. IEEE Access. 2016;4:1821-34, DOI: 10.1109/ACCESS.2016.2558446.

23.

Liu

. A learning method for the class imbalance problem with medical data sets. Comput Biol Med. 2010;40:509-18.

24.

Gao

Zhang

Liu

. Handling imbalanced medical image data: A deep-learning-based one-class classification approach. Artif Intell Med. 2020;108:101935.

25.

Lehne

Sass

Essenwanger

Schepers

Thun

. Why digital medicine depends on interoperability. NPJ Digit Med. 2019;2:79.

26.

Asswad

Gómez

. Data Ownership: A Survey. Information. 2021; 12(11):465. DOI: 10.3390/info12110465.

. Fundamentals in artificial intelligence for vascular surgeons. Ann Vasc Surg. 2020;65:254-60.

. Prediction of abdominal aortic aneurysm growth and risk of rupture in the era of machine learning. Angiology. 2020;71(8):767.

. Applications of artificial intelligence in vascular diseases. Angiology. 2022.33197221087779.

. A systematic review and bibliometric analysis of applications of artificial intelligence and machine learning in vascular surgery. Ann Vasc Surg. 2022;24:S0890‐5096(22)00148‐0.

. Current applications of artificial intelligence in vascular surgery. Semin Vasc Surg. 2021;34:268-71.

. Artificial intelligence and machine learning in aortic disease. Curr Opin Cardiol. 2021;36:695-703.

33.

Lareyre

Ballaith

, et al. Applications of artificial intelligence in non-cardiac vascular diseases: a bibliographic analysis. Angiology. 2022;7:606-614.

. Artificial intelligence for education of vascular surgeons. Eur J Vasc Endovasc Surg. 2020;59:870-1.

. Collaborative and partnership research for improvement of health and social services: researcher's experiences from 20 projects. Health Res Policy Syst. 2018;16:46.

36.

Dusdal

Powell

. Benefits, motivations, and challenges of international collaborative research: a sociology of science case study. Sci Publ Pol, 48(2), 2021, 235-45.

37.

Bjorck

. Collaborative research: population-based data and validation are necessary. Br J Surg. 2022;109(7):578-79.

38.

Extance

. How AI technology can tame the scientific literature. Nature. 2018;561:273-4.

. Systematic review of current natural language processing methods and applications in cardiology. Heart. 2022;108:909-16.

. Natural language processing of clinical notes on chronic diseases: systematic review. JMIR Med Inform. 2019;7:e12239.

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

Abstract

Keywords

Get full access to this article

References