Niralee Patel,Dhwanil Patel,Samira S Farouk et al.
Niralee Patel et al.
Serum sodium disorders are generally a marker of water balance in the body. Thus, hypernatremia is most often caused by an overall deficit of total body water. Other unique circumstances may lead to excess salt, without an impact on the bod...
Deep Learning Using Electrocardiograms in Patients on Maintenance Dialysis [0.03%]
维持性血液透析患者的心电图深度学习技术
Zhong Zheng,Qandeel H Soomro,David M Charytan
Zhong Zheng
Cardiovascular morbidity and mortality occur with an extraordinarily high incidence in the hemodialysis-dependent end-stage kidney disease population. There is a clear need to improve identification of those individuals at the highest risk ...
Artificial Intelligence and Machine Learning in Perioperative Acute Kidney Injury [0.03%]
人工智能和机器学习在围手术期急性肾损伤中的应用
Kullaya Takkavatakarn,Ira S Hofer
Kullaya Takkavatakarn
Acute kidney injury (AKI) is a common complication after a surgery, especially in cardiac and aortic procedures, and has a significant impact on morbidity and mortality. Early identification of high-risk patients and providing effective pre...
Nadja Grobe,Josef Scheiber,Hanjie Zhang et al.
Nadja Grobe et al.
Omics applications in nephrology may have relevance in the future to improve clinical care of kidney disease patients. In a short term, patients will benefit from specific measurement and computational analyses around biomarkers identified ...
Review of Artificial Intelligence-Based Signal Processing in Dialysis: Challenges for Machine-Embedded and Complementary Applications [0.03%]
基于人工智能的透析信号处理回顾：嵌入式和互补应用面临的挑战
Lena Scherer,Matthias Kuss,Werner Nahm
Lena Scherer
Artificial intelligence technology is trending in nearly every medical area. It offers the possibility for improving analytics, therapy outcome, and user experience during therapy. In dialysis, the application of artificial intelligence as ...
Wonsuk Oh,Girish N Nadkarni
Wonsuk Oh
The success of machine learning-based studies is largely subjected to accessing a large amount of data. However, accessing such data is typically not feasible within a single health system/hospital. Although multicenter studies are the most...
Machine Learning Case Study: Patterns of Kidney Function Decline and Their Association With Clinical Outcomes Within 90 Days After the Initiation of Renal Dialysis [0.03%]
机器学习案例研究：肾脏透析开始后的90天内肾功能下降的模式及其与临床结果的关系
Harvey W Kaufman,Catherine Wang,Yuedong Wang et al.
Harvey W Kaufman et al.
A case study explores patterns of kidney function decline using unsupervised learning methods first and then associating patterns with clinical outcomes using supervised learning methods. Predicting short-term risk of hospitalization and de...
Hanjie Zhang,Max Botler,Jeroen P Kooman
Hanjie Zhang
Analysis of medical images, such as radiological or tissue specimens, is an indispensable part of medical diagnostics. Conventionally done manually, the process may sometimes be time-consuming and prone to interobserver variability. Image c...
Advances in Chronic Kidney Disease Lead Editorial Outlining the Future of Artificial Intelligence/Machine Learning in Nephrology [0.03%]
肾脏病学进展：展望未来 nephrology未来的人工智能/机器学习主编导言
Peter Kotanko,Girish N Nadkarni
Peter Kotanko
Guido Filler,Debbie S Gipson,Didier Iyamuremye et al.
Guido Filler et al.
Artificial intelligence is playing an increasingly important role in many fields of clinical care to assist health care providers in patient management. In adult-focused nephrology, artificial intelligence is beginning to be used to improve...