The Role of Artificial Intelligence in the Prediction of Functional Maturation of Arteriovenous Fistula
Author:
Affiliation:
1. Faculty of Medical Sciences, Anglia Ruskin University
2. Department of Vascular, Endovascular and Renal Access Surgery, Broomfield Hospital, Mid Essex Hospital Service NHS Trust
3. Faculty of Science and Technology, Anglia Ruskin University
Publisher
The Editorial Committee of Annals of Vascular Diseases
Link
https://www.jstage.jst.go.jp/article/avd/12/1/12_oa.18-00129/_pdf
Reference25 articles.
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2. 2) Lok CE, Oliver MJ. Overcoming barriers to arteriovenous fistula creation and use. Semin Dial 2003; 16: 189-96.
3. 3) Kordzadeh A, Askari A, Hoff M, et al. The impact of patient demographics, anatomy, comorbidities, and peri-operative planning on the primary functional maturation of autogenous radiocephalic arteriovenous fistula. Eur J Vasc Endovasc Surg 2017; 53: 726-32.
4. 4) Schmidli J, Widmer MK, Basile C, et al. Vascular access: 2018 clinical practice guidelines of the European Society for Vascular Surgery. Eur J Vasc Endovasc Surg 2018; 55: 757-818.
5. 5) Santangeli P, Marchlinski FE. Facts are stubborn things, but statistics are more pliable*: should we use the antimicrobial envelope for every device implant? J Cardiovasc Electrophysiol 2015; 26: 790-1.
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