2020
DOI: 10.3390/jcm9041107
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Promises of Big Data and Artificial Intelligence in Nephrology and Transplantation

Abstract: Kidney diseases form part of the major health burdens experienced all over the world. Kidney diseases are linked to high economic burden, deaths, and morbidity rates. The great importance of collecting a large quantity of health-related data among human cohorts, what scholars refer to as “big data”, has increasingly been identified, with the establishment of a large group of cohorts and the usage of electronic health records (EHRs) in nephrology and transplantation. These data are valuable, and can potentially… Show more

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Cited by 52 publications
(50 citation statements)
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References 125 publications
(132 reference statements)
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“…Overall, one-year post-transplant outcomes have improved since 2007, when the Centers for Medicare and Medicaid Services (CMS) solid organ transplant regulation was first implemented [40]. However, there is still a lack of long term graft and survival outcomes [41][42][43][44]. Although transplantation with KDPI > 85% kidneys might be associated with an increased delayed graft function rate and reduced graft survival [45], it is clearly evident based on the lower mortality rate that recipients benefit from transplantation of high-KDPI kidneys when compared with those who wait for low-KDPI kidneys [46,47].…”
Section: Discussionmentioning
confidence: 99%
“…Overall, one-year post-transplant outcomes have improved since 2007, when the Centers for Medicare and Medicaid Services (CMS) solid organ transplant regulation was first implemented [40]. However, there is still a lack of long term graft and survival outcomes [41][42][43][44]. Although transplantation with KDPI > 85% kidneys might be associated with an increased delayed graft function rate and reduced graft survival [45], it is clearly evident based on the lower mortality rate that recipients benefit from transplantation of high-KDPI kidneys when compared with those who wait for low-KDPI kidneys [46,47].…”
Section: Discussionmentioning
confidence: 99%
“…The use of artificial intelligence algorithms and electronic alerts based on the patient health records has enhanced the development of predictive and risk stratification algorithms which have been reported to improve AKI detection [ 51 , 52 , 53 ].…”
Section: Managementmentioning
confidence: 99%
“…However, allograft loss remains a major issue for KT patients [3]. While there has been improvement in one-year graft survival and allograft rejection, there is little improvement in the long-term rate of graft loss [4,5]. Current KT surveillance options for allograft injury such as serum creatinine (SCr), urinalysis, urinary protein, donor specific antibody (DSA), and BK virus surveillance have known limitations [6][7][8].…”
Section: Introductionmentioning
confidence: 99%