Fresenius Medical Care North America (United States)

European Nephrologists’ Attitudes toward the Application of Artificial Intelligence in Clinical Practice: A Comprehensive Survey

Matteo Savoia, Giovanni Tripepi, Berit Goethel-Paal et al.

2023 · 5 Zit.

Health-economic evaluation of an AI-powered decision support system for anemia management in in-center hemodialysis patients

Afschin Gandjour, Christian Apel, Dana Kendzia et al.

2025 · 4 Zit.

WCN24-1206 GLOBAL DIALYSIS CHARACTERISTICS ACROSS SIX CONTINENTS IN THE APOLLO DB DATASET

Melanie Wolf, Yue Jiao, Kaitlyn Croft et al.

2024 · 1 Zit.

Application of Artificial Intelligence and Machine Learning in Kidney Disease

Caitlin Monaghan, Kristina Looper, Len A. Usvyat

2022 · 1 Zit.

Race and Ethnicity Do Not Influence the Performance of Fistula Failure Machine Learning Model

Suman Lama, Joanna Willetts, Caitlin Monaghan et al.

2023 · 0 Zit.

#922 Evaluating the nutritional accuracy and practicality of ChatGPT-generated recipes for CKD patients

Sharon Rao, Lin‐Chun Wang, Simon Yueh et al.

2025 · 0 Zit.

#729 Application of ChatGPT to support nutritional recommendations for dialysis patients

Lin‐Chun Wang, Hanjie Zhang, Nancy Ginsberg et al.

2024 · 0 Zit.

#1901 Evaluating ChatGPT for dietary support: photo-based ingredient recognition for dialysis patients

Simon Yueh, Karin Bergling, Sharon Rao et al.

2025 · 0 Zit.

#2782 Clinician usage and perception of an AI-based model predicting peritoneal dialysis dropouts

Caitlin Monaghan, Susan Lewis, Paul Smith et al.

2025 · 0 Zit.

From Prompt to Plate: Can ChatGPT Plan a Safe and Clinically Appropriate Diet for Patients on Hemodialysis?

Lin‐Chun Wang, Simon Yueh, Sharon Rao et al.

2025 · 0 Zit.