Predicting radiocephalic arteriovenous fistula success with machine learning
Abstract After creation of a new arteriovenous fistula (AVF), assessment of readiness for use is an important clinical task. Accurate prediction of successful use is challenging, and augmentation of the physical exam with ultrasound has become routine. Herein, we propose a point-of-care tool based o...
| Published in: | npj Digital Medicine |
|---|---|
| Main Authors: | , , , , , , , , |
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2022-10-01
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| Online Access: | https://doi.org/10.1038/s41746-022-00710-w |