| no |
title |
author |
magazine |
year |
volume |
issue |
page(s) |
type |
| 1 |
Advances in Chronic Kidney Disease Lead Editorial Outlining the Future of Artificial Intelligence/Machine Learning in Nephrology
|
Kotanko, Peter
|
|
|
30 |
1 |
p. 2-3
|
article
|
| 2 |
Advances in Kidney Disease and Health: It's all in the Name
|
Thakar, Charuhas V.
|
|
|
30 |
1 |
p. 1
|
article
|
| 3 |
Artificial Intelligence and Machine Learning in Perioperative Acute Kidney Injury
|
Takkavatakarn, Kullaya
|
|
|
30 |
1 |
p. 53-60
|
article
|
| 4 |
Artificial Intelligence in Pediatric Nephrology—A Call for Action
|
Filler, Guido
|
|
|
30 |
1 |
p. 17-24
|
article
|
| 5 |
Deep Learning for Image Analysis in Kidney Care
|
Zhang, Hanjie
|
|
|
30 |
1 |
p. 25-32
|
article
|
| 6 |
Deep Learning Using Electrocardiograms in Patients on Maintenance Dialysis
|
Zheng, Zhong
|
|
|
30 |
1 |
p. 61-68
|
article
|
| 7 |
Editorial Board
|
|
|
|
30 |
1 |
p. A2
|
article
|
| 8 |
Federated Learning in Health care Using Structured Medical Data
|
Oh, Wonsuk
|
|
|
30 |
1 |
p. 4-16
|
article
|
| 9 |
Machine Learning Case Study: Patterns of Kidney Function Decline and Their Association With Clinical Outcomes Within 90 Days After the Initiation of Renal Dialysis
|
Kaufman, Harvey W.
|
|
|
30 |
1 |
p. 33-39
|
article
|
| 10 |
Masthead
|
|
|
|
30 |
1 |
p. A1
|
article
|
| 11 |
NKF Spring Clinical Meeting 2023 Physician Program
|
|
|
|
30 |
1 |
p. A5-A10
|
article
|
| 12 |
Omics and Artificial Intelligence in Kidney Diseases
|
Grobe, Nadja
|
|
|
30 |
1 |
p. 47-52
|
article
|
| 13 |
Review of Artificial Intelligence–Based Signal Processing in Dialysis: Challenges for Machine-Embedded and Complementary Applications
|
Scherer, Lena
|
|
|
30 |
1 |
p. 40-46
|
article
|
| 14 |
Table of Contents
|
|
|
|
30 |
1 |
p. A3-A4
|
article
|
Journal description