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Role of Artificial Intelligence in Kidney Disease

Qiongjing Yuan, Haixia Zhang, Tianci Deng, Shumei Tang, Xiangning Yuan, Wenbin Tang, Yanyun Xie, Huipeng Ge, Xiufen Wang, Qiaoling Zhou, Xiangcheng Xiao
2020 International Journal of Medical Sciences  
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

Carlo Barbieri, Elena Bolzoni, Flavio Mari, Isabella Cattinelli, Francesco Bellocchio, José D. Martin, Claudia Amato, Andrea Stopper, Emanuele Gatti, Iain C. Macdougall, Stefano Stuard, Bernard Canaud (+1 others)
2016 PLoS ONE  
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

Scott M. Sutherland, Lakhmir S. Chawla, Sandra L. Kane-Gill, Raymond K. Hsu, Andrew A. Kramer, Stuart L. Goldstein, John A. Kellum, Claudio Ronco, Sean M. Bagshaw
2016 Canadian Journal of Kidney Health and Disease  
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

Charles Hobson, Girish Singhania, Azra Bihorac
2015 Critical care clinics  
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

Charles Hobson, Nicholas Lysak, Matthew Huber, Salvatore Scali, Azra Bihorac
2018 Journal of Vascular Surgery  
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

Sanjiv J. Shah
2017 Journal of Cardiovascular Translational Research  
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

Joana Gameiro, Tiago Branco, José António Lopes
2020 Journal of Clinical Medicine  
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  
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


2013 Blood Purification  
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  
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

Ștefan Busnatu, Adelina-Gabriela Niculescu, Alexandra Bolocan, George E. D. Petrescu, Dan Nicolae Păduraru, Iulian Năstasă, Mircea Lupușoru, Marius Geantă, Octavian Andronic, Alexandru Mihai Grumezescu, Henrique Martins
2022 Journal of Clinical Medicine  
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  
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

Pablo Escandell-Montero, Milena Chermisi, José M. Martínez-Martínez, Juan Gómez-Sanchis, Carlo Barbieri, Emilio Soria-Olivas, Flavio Mari, Joan Vila-Francés, Andrea Stopper, Emanuele Gatti, José D. Martín-Guerrero
2014 Artificial Intelligence in Medicine  
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  
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  
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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