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Role of Artificial Intelligence in Kidney Disease
2020
International Journal of Medical Sciences
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Owing to the huge number of patients, kidney disease remains a global health problem. Challenges remain in its diagnosis and treatment. ...
Although the number of studies related to AI applications in kidney disease is small, the potential of AI in the management of kidney disease is well recognized by clinicians; AI will greatly enhance clinicians ...
The machine learning seems to be a predictive analytic approach. ...
doi:10.7150/ijms.42078
pmid:32308551
pmcid:PMC7163364
fatcat:bh5zsn5sbjdgxnrejxb53p6wui
Performance of a Predictive Model for Long-Term Hemoglobin Response to Darbepoetin and Iron Administration in a Large Cohort of Hemodialysis Patients
2016
PLoS ONE
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Our ANN predictive model offers a simple and reliable tool applicable in daily clinical practice for predicting the long-term response to ESA/iron therapy of HD patients. ...
To this end, we developed a predictive model designed to support decision-making regarding anemia management in hemodialysis (HD) patients treated in center. ...
survive for about 60-90 days in End Stage Renal Disease (ESRD) patients. ...
doi:10.1371/journal.pone.0148938
pmid:26939055
pmcid:PMC4777424
fatcat:ita6dlil65dyllybvuv6csv6ry
Utilizing Electronic Health Records to Predict Acute Kidney Injury Risk and Outcomes: Workgroup Statements from the 15th ADQI Consensus Conference
2016
Canadian Journal of Kidney Health and Disease
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The Acute Dialysis Quality Initiative (ADQI) convened a group of key opinion leaders and stakeholders to consider how best to approach AKI research and care in the "Big Data" era. ...
Acute kidney injury (AKI) is a condition well suited to prediction and risk forecasting; not only does the consensus definition for AKI allow temporal anchoring of events, but no treatments exist once ...
There are a number of potential data-mining, machine learning approaches to this sort of feature selection which could be used alone or in combination (Table 3) . ...
doi:10.1186/s40697-016-0099-4
pmid:26925247
pmcid:PMC4768420
fatcat:p4k3xs6przh5bjef5ywmhbax3q
Acute Kidney Injury in the Surgical Patient
2015
Critical care clinics
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Current efforts to understand and manage AKI in surgical patients focus on prevention, mitigation of further injury when AKI has occurred, treatment of associated conditions and facilitation of renal recovery ...
The ability to detect AKI within hours of onset would be helpful in protecting the kidney and in preserving renal function, and several imaging and biomarker modalities are currently being evaluated. ...
Acknowledgments Conflicts of Interest and Source of Funding: AB is supported by Center for Sepsis and Critical Illness Award P50 GM-111152 from the National Institute of General Medical Sciences and has ...
doi:10.1016/j.ccc.2015.06.007
pmid:26410139
pmcid:PMC4584402
fatcat:rfhpfqj6yrej7osprt7cp654qu
Epidemiology, outcomes, and management of acute kidney injury in the vascular surgery patient
2018
Journal of Vascular Surgery
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The purpose of this narrative review is to review the epidemiology and outcomes of AKI in patients undergoing vascular surgery using current consensus definitions, discuss some of the novel emerging risk ...
Adherence to a standardized perioperative pathway designed to reduce risk of AKI after major vascular surgery offers a promising clinical approach to mitigate the incidence and severity of this challenging ...
In 2004, the Acute Dialysis Quality Initiative group introduced the Risk, Injury, Failure, Loss, and End-Stage Kidney (RIFLE) classification, a standardized definition for the diagnosis and staging of ...
doi:10.1016/j.jvs.2018.05.017
pmid:30146038
pmcid:PMC6236681
fatcat:hnrsbgaamzaf5opp36br4cdhjm
Precision Medicine for Heart Failure with Preserved Ejection Fraction: An Overview
2017
Journal of Cardiovascular Translational Research
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These papers cover a variety of topics relevant to precision medicine in HFpEF, including automated identification of HFpEF patients; machine learning, novel molecular approaches, genomics, and deep phenotyping ...
and clinicians to advance a more targeted approach to HFpEF classification and treatment. ...
Shah is supported by National Institutes of Health R01 HL107577 and R01 HL127028; and American Heart Association #16SFRN28780016 and #15CVGPSD27260148. ...
doi:10.1007/s12265-017-9756-y
pmid:28585183
pmcid:PMC5540576
fatcat:nleuafnjfrcmtj3dx4hdop2i6e
Artificial Intelligence in Acute Kidney Injury Risk Prediction
2020
Journal of Clinical Medicine
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In this review, we discussed the progress of AKI risk prediction from risk scores to electronic alerts to machine learning methods. ...
The advances in clinical informatics and the increasing availability of electronic medical records have allowed for the development of artificial intelligence predictive models of risk estimation in AKI ...
Funding: There was no funding for this study.
Conflicts of Interest: There is no conflict of interest. The results presented in this paper have not been published previously in whole or part. ...
doi:10.3390/jcm9030678
pmid:32138284
pmcid:PMC7141311
fatcat:tjyaglaagrewpg2brwonziui74
17th International Conference on Dialysis. Advances in Kidney Disease 2015, January 28-30, 2015, New Orleans, La.: Abstracts
2015
Blood Purification
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Background: The risk of end stage renal disease (ESRD) in patients with high alcohol consumption is unclear. ...
The objective of this meta-analysis was to evaluate the impact of statins on renal outcomes in patients with CKD. ...
end stage renal disease (ESRD) patients particularly in dialysis dependent. ...
doi:10.1159/000369154
fatcat:nv6dt3ky3rcrtky5dmfxut3vne
Abstracts
2013
Blood Purification
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There is no accepted, reliable and patient-specific method for assessing MNA in pediatric renal transplant recipients. ...
This study suggests that the presence of DSA may potentially be a marker for MNA. ...
, New York, NY, USA Dialysis units have learned that the use of televisions provides a welcomed distraction for patients that sit for 3, 4 or more hours each treatment. ...
doi:10.1159/000345306
fatcat:pcagbizxybhzjdaj76src2nagy
31st Annual Conference on Peritoneal Dialysis, 17th International Symposium on Hemodialysis, and 22nd Annual Symposium on Pediatric Dialysis
2011
Hemodialysis International
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we performed 245 native AVF at the wrist or distal forearm in patients with end-stage renal failure (ESRF) before starting dialysis. ...
The end-to-side anastomosis was used in 52.2% of diabetic and in 50.3% of no diabetic patients without any significant difference. In other patients we performed a end-to-end anastomosis. ...
end-stage renal disease undergoing maintenance dialysis therapy, but it is still a disease of significant mortality. ...
doi:10.1111/j.1542-4758.2010.00516.x
fatcat:agz7fhttlrau3lnbq362rtjdym
Clinical Applications of Artificial Intelligence—An Updated Overview
2022
Journal of Clinical Medicine
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Moreover, a diverse repertoire of methods can be chosen towards creating performant models for use in medical applications, ranging from disease prediction, diagnosis, and prognosis to opting for the most ...
appropriate treatment for an individual patient. ...
In comparison, Schena et al. [71] recently developed an ANN prediction model for end-stage kidney disease in patients with IgAN. ...
doi:10.3390/jcm11082265
pmid:35456357
pmcid:PMC9031863
fatcat:mtzdrc7nyzgbjeyou3h4cuso7a
NephroAsia 2004
2004
American Journal of Nephrology
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Automated peritoneal dialysis continues to be a popular choice of treatment for patients with end stage renal disease. ...
Purpose of the Study: Lanthanum carbonate (LC) is a novel phosphate binder currently in development for the treatment of hyperphosphataemia in patients with end-stage renal disease. ...
hemodialysis treatment of today.
237
DIAFIL -New Membrane for Dialysis Therapy
G. ...
doi:10.1159/000076082
fatcat:vxvtodpl5zekjnzxavp7l456iy
Optimization of anemia treatment in hemodialysis patients via reinforcement learning
2014
Artificial Intelligence in Medicine
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2015 pre-print arXiv:1509.03977v1 fatcat:zg7yx6ktcrdd3hjjr7abpnh23m
Computing optimal drug administration strategies for chronic diseases is a sequential decision-making problem in which the goal is to find the best sequence of drug doses. ...
Objective: Anemia is a frequent comorbidity in hemodialysis patients that can be successfully treated by administering erythropoiesis-stimulating agents (ESAs). ...
Acknowledgements The authors thank the reviewers from Artificial Intelligence in Medicine Journal, whose insightful and helpful comments were of great value for the preparation of the final manuscript. ...
doi:10.1016/j.artmed.2014.07.004
pmid:25091172
fatcat:rkp3kvttsjbqzkk73dzsn6umvm
Supplementum 242: Abstracts of the 51st Annual meeting of the Swiss Society of Nephrology
2019
Swiss Medical Weekly
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OC 23 Identifying factors associated with mortality in young patients on chronic hemodialysis -a machine learning approach
Background Mortality in pediatric end-stage renal disease patients is significantly ...
of progression to end-stage renal disease. ...
Any use of the work for commercial purposes needs the explicit prior authorisation of EMH on the basis of a written agreement. ...
doi:10.4414/smw.2019.20339
pmid:32729935
fatcat:m732gp5w45e5tgfmgekagrhkqu
33rd Vicenza Course on Critical Care Nephrology. Vicenza, June 9-12, 2015: Abstracts
2015
Blood Purification
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We evaluated whether time to reperfusion predicts the risk of AKI among STEMI patients undergoing primary PCI. ...
Methods: After approval from institutional ethics committee a prospective study of elderly (age ≥60 years) patients with AKI as per RIFLE (Risk, Injury, Failure, Loss of kidney function, End stage renal ...
Peritoneal dialysis (PD), a well-established, hemodynamically tolerated treatment for outpatients may be the best option to control fluid status, even in non-end stage renal disease. ...
doi:10.1159/000431262
fatcat:wufdbkjjvnh7vibhz75jvn4uae
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