Artificial Intelligence Methods for Rapid Vascular Access Aneurysm Classification in Remote or In-Person Settings | Zendy

Warren Krackov | Zendy; Murat Sor | Zendy; Rishi Razdan | Zendy; Hanjie Zheng | Zendy; Peter Kotanko | Zendy

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Artificial Intelligence Methods for Rapid Vascular Access Aneurysm Classification in Remote or In-Person Settings

Author(s) -

Warren Krackov,

Murat Sor,

Rishi Razdan,

Hanjie Zheng,

Peter Kotanko

Publication year - 2021

Publication title -

blood purification

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.686

H-Index - 57

eISSN - 1421-9735

pISSN - 0253-5068

DOI - 10.1159/000515642

Subject(s) - aneurysm , medicine , telehealth , grading (engineering) , convolutional neural network , artificial intelligence , computer science , adjudication , vascular access , radiology , hemodialysis , telemedicine , surgery , health care , civil engineering , law , political science , engineering , economics , economic growth

Innovations in artificial intelligence (AI) have proven to be effective contributors to high-quality health care. We examined the beneficial role AI can play in noninvasively grading vascular access aneurysms to reduce high-morbidity events, such as rupture, in ESRD patients on hemodialysis.

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