Literature DB >> 35582190

Artificial Intelligence in the Identification, Management, and Follow-Up of CKD.

Navdeep Tangri1,2, Thomas W Ferguson1,2.   

Abstract

Entities:  

Keywords:  artificial; chronic; chronic kidney disease; intelligence; kidney; learning; machine; statistics

Mesh：

Year:  2022        PMID： 35582190      PMCID： PMC9034811          DOI： 10.34067/KID.0007572021

Source DB:  PubMed          Journal:  Kidney360        ISSN： 2641-7650


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  9 in total

1.  Definition and classification of chronic kidney disease: a position statement from Kidney Disease: Improving Global Outcomes (KDIGO).

Authors:  Andrew S Levey; Kai-Uwe Eckardt; Yusuke Tsukamoto; Adeera Levin; Josef Coresh; Jerome Rossert; Dick De Zeeuw; Thomas H Hostetter; Norbert Lameire; Garabed Eknoyan
Journal:  Kidney Int       Date:  2005-06       Impact factor: 10.612

2.  Efficacy and safety of empagliflozin added to existing antidiabetes treatment in patients with type 2 diabetes and chronic kidney disease: a randomised, double-blind, placebo-controlled trial.

Authors:  Anthony H Barnett; Ambrish Mithal; Jenny Manassie; Russell Jones; Henning Rattunde; Hans J Woerle; Uli C Broedl
Journal:  Lancet Diabetes Endocrinol       Date:  2014-01-24       Impact factor: 32.069

Review 3.  Cost-effectiveness of primary screening for CKD: a systematic review.

Authors:  Paul Komenda; Thomas W Ferguson; Kerry Macdonald; Claudio Rigatto; Chris Koolage; Manish M Sood; Navdeep Tangri
Journal:  Am J Kidney Dis       Date:  2014-02-12       Impact factor: 8.860

4.  Dapagliflozin in Patients with Chronic Kidney Disease.

Authors:  Hiddo J L Heerspink; Bergur V Stefánsson; Ricardo Correa-Rotter; Glenn M Chertow; Tom Greene; Fan-Fan Hou; Johannes F E Mann; John J V McMurray; Magnus Lindberg; Peter Rossing; C David Sjöström; Roberto D Toto; Anna-Maria Langkilde; David C Wheeler
Journal:  N Engl J Med       Date:  2020-09-24       Impact factor: 91.245

5.  Predicting the early risk of chronic kidney disease in patients with diabetes using real-world data.

Authors:  Stefan Ravizza; Tony Huschto; Anja Adamov; Lars Böhm; Alexander Büsser; Frederik F Flöther; Rolf Hinzmann; Helena König; Scott M McAhren; Daniel H Robertson; Titus Schleyer; Bernd Schneidinger; Wolfgang Petrich
Journal:  Nat Med       Date:  2019-01-07       Impact factor: 53.440

6.  Effect of Finerenone on Chronic Kidney Disease Outcomes in Type 2 Diabetes.

Authors:  George L Bakris; Rajiv Agarwal; Stefan D Anker; Bertram Pitt; Luis M Ruilope; Peter Rossing; Peter Kolkhof; Christina Nowack; Patrick Schloemer; Amer Joseph; Gerasimos Filippatos
Journal:  N Engl J Med       Date:  2020-10-23       Impact factor: 91.245

7.  Canagliflozin and Cardiovascular and Renal Outcomes in Type 2 Diabetes Mellitus and Chronic Kidney Disease in Primary and Secondary Cardiovascular Prevention Groups.

Authors:  Kenneth W Mahaffey; Meg J Jardine; Severine Bompoint; Christopher P Cannon; Bruce Neal; Hiddo J L Heerspink; David M Charytan; Robert Edwards; Rajiv Agarwal; George Bakris; Scott Bull; George Capuano; Dick de Zeeuw; Tom Greene; Adeera Levin; Carol Pollock; Tao Sun; David C Wheeler; Yshai Yavin; Hong Zhang; Bernard Zinman; Norman Rosenthal; Barry M Brenner; Vlado Perkovic
Journal:  Circulation       Date:  2019-07-11       Impact factor: 29.690

8.  Payer budget impact of an artificial intelligence in vitro diagnostic to modify diabetic kidney disease progression.

Authors:  Manasi Datar; William Burchenal; Michael J Donovan; Steven G Coca; Elaine Wang; Thomas F Goss
Journal:  J Med Econ       Date:  2021 Jan-Dec       Impact factor: 2.448

9.  Derivation and validation of a machine learning risk score using biomarker and electronic patient data to predict progression of diabetic kidney disease.

Authors:  Lili Chan; Girish N Nadkarni; Fergus Fleming; James R McCullough; Patricia Connolly; Gohar Mosoyan; Fadi El Salem; Michael W Kattan; Joseph A Vassalotti; Barbara Murphy; Michael J Donovan; Steven G Coca; Scott M Damrauer
Journal:  Diabetologia       Date:  2021-04-02       Impact factor: 10.122
  9 in total
  1 in total

Review 1.  Exfoliated Kidney Cells from Urine for Early Diagnosis and Prognostication of CKD: The Way of the Future?

Authors:  Henry H L Wu; Ewa M Goldys; Carol A Pollock; Sonia Saad
Journal:  Int J Mol Sci       Date:  2022-07-09       Impact factor: 6.208
  1 in total

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