nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('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 |
artikel |
2 |
Advances in Kidney Disease and Health: It's all in the Name
|
Thakar, Charuhas V. |
|
|
30 |
1 |
p. 1 |
artikel |
3 |
Artificial Intelligence and Machine Learning in Perioperative Acute Kidney Injury
|
Takkavatakarn, Kullaya |
|
|
30 |
1 |
p. 53-60 |
artikel |
4 |
Artificial Intelligence in Pediatric Nephrology—A Call for Action
|
Filler, Guido |
|
|
30 |
1 |
p. 17-24 |
artikel |
5 |
Deep Learning for Image Analysis in Kidney Care
|
Zhang, Hanjie |
|
|
30 |
1 |
p. 25-32 |
artikel |
6 |
Deep Learning Using Electrocardiograms in Patients on Maintenance Dialysis
|
Zheng, Zhong |
|
|
30 |
1 |
p. 61-68 |
artikel |
7 |
Editorial Board
|
|
|
|
30 |
1 |
p. A2 |
artikel |
8 |
Federated Learning in Health care Using Structured Medical Data
|
Oh, Wonsuk |
|
|
30 |
1 |
p. 4-16 |
artikel |
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 |
artikel |
10 |
Masthead
|
|
|
|
30 |
1 |
p. A1 |
artikel |
11 |
NKF Spring Clinical Meeting 2023 Physician Program
|
|
|
|
30 |
1 |
p. A5-A10 |
artikel |
12 |
Omics and Artificial Intelligence in Kidney Diseases
|
Grobe, Nadja |
|
|
30 |
1 |
p. 47-52 |
artikel |
13 |
Review of Artificial Intelligence–Based Signal Processing in Dialysis: Challenges for Machine-Embedded and Complementary Applications
|
Scherer, Lena |
|
|
30 |
1 |
p. 40-46 |
artikel |
14 |
Table of Contents
|
|
|
|
30 |
1 |
p. A3-A4 |
artikel |