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3. Patient Survival With Extended Home Hemodialysis Compared to In-Center Conventional Hemodialysis

5. WCN24-1199 APOLLO DB: CHARACTERISTICS OF DIALYSIS PATIENTS ACROSS MAJOR WORLD REGIONS

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

11. Patient Survival With Extended Home Hemodialysis Compared to In-Center Conventional Hemodialysis

13. European Nephrologists' Attitudes Towards the Application of Artificial Intelligence in Clinical Practice: A Comprehensive Survey

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

29. Fatigue in incident peritoneal dialysis and mortality: A real-world side-by-side study in Brazil and the United States

30. Additional file 1 of Predictors of shorter- and longer-term mortality after COVID-19 presentation among dialysis patients: parallel use of machine learning models in Latin and North American countries

31. Predictors of Shorter- and Longer-Term Mortality after COVID-19 Presentation among Dialysis Patients: Parallel Use of Machine Learning Models in Latin and North American Countries

33. Fatigue in Incident Peritoneal Dialysis and Mortality: A Real-World Side-by-Side Study in Brazil and the United States

38. Institutional variability of intraoperative red blood cell utilization in coronary artery bypass graft surgery

39. Additional file 3 of Impacts of dialysis adequacy and intradialytic hypotension on changes in dialysis recovery time

40. Additional file 1 of Impacts of dialysis adequacy and intradialytic hypotension on changes in dialysis recovery time

41. Additional file 2 of Impacts of dialysis adequacy and intradialytic hypotension on changes in dialysis recovery time

44. Machine Learning for Prediction of Patients on Hemodialysis with an Undetected SARS-CoV-2 Infection

47. Machine Learning Directed Interventions Associate with Decreased Hospitalization Rates in Hemodialysis Patients

48. Impacts of Dialysis Adequacy and Intradialytic Hypotension on Changes in Dialysis Recovery Time

49. Artificial intelligence enabled applications in kidney disease

50. Artificial Intelligence for COVID-19 Risk Classification in Kidney Disease: Can Technology Unmask an Unseen Disease?

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