Medicine and Healthnpj Digital Medicine
Predicting radiocephalic arteriovenous fistula success with machine learning
P. Heindel, T. Dey, et al.
This research presents a breakthrough machine learning tool designed to predict the success of unassisted radiocephalic arteriovenous fistula use, leveraging data from 704 patients. Developed by leading experts including Patrick Heindel and Tanujit Dey, this innovative online calculator integrates key clinical indicators to assist in clinical decision-making.
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