Artificial Intelligence (AI) and Machine Learning (ML) have brought new insights in
vascular diseases, as evidenced by an increasing number of published articles demonstrating
their interest to improve diagnosis, build predictive models, assess the prognosis
of patients, propose new devices and develop aid-decision support system with personalized
therapeutic approach.
1
,2
Several reviews summarized the applications of AI in vascular diseases and mainly
focused on aortic
3
,4
and peripheral artery disease.
5
However, bibliometric analysis investigating major topics, main AI techniques, contributors,
journals, and context of research have been so far less reported.To read this article in full you will need to make a payment
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References
- Machine learning in vascular surgery: a systematic review and critical appraisal.NPJ Digit Med. 2022; 5: 7
- Fundamentals in artificial intelligence for vascular surgeons.Ann Vasc Surg. 2020; 65: 254-260
- Artificial intelligence in abdominal aortic aneurysm.J Vasc Surg. 2020; 72: 321-333.e1
- Artificial intelligence and machine learning in aortic disease.Curr Opin Cardiol. 2021; 36: 695-703
- Leveraging machine learning and artificial intelligence to improve peripheral artery disease detection, treatment, and outcomes.Circ Res. 2021; 128: 1833-1850
- Applications of Artificial intelligence in non-cardiac vascular diseases: a bibliographic analysis.Angiology. 2022; 73: 606-614
- A systematic review and bibliometric analysis of applications of Artificial intelligence and machine learning in vascular surgery.Ann Vasc Surg. 2022; (Epub ahead of print.)
- Artificial intelligence for education of vascular surgeons.Eur J Vasc Endovasc Surg. 2020; 59: 870-871
Article Info
Publication History
Published online: July 04, 2022
Publication stage
In Press Journal Pre-ProofFootnotes
Competing Interests: The authors declare no competing interest.
Funding Sources: None declared.
Identification
Copyright
© 2022 Elsevier Inc. All rights reserved.