Literature DB >> 35373136

Artificial Intelligence for AKI!Now: Let's Not Await Plato's Utopian Republic.

Danielle E Soranno1, Azra Bihorac2, Stuart L Goldstein3, Kianoush B Kashani4, Shina Menon5, Girish N Nadkarni6, Javier A Neyra7, Neesh I Pannu8, Karandeep Singh9, Jorge Cerda10, Jay L Koyner11.   

Abstract

Entities:  

Keywords:  acute kidney injury; acute kidney injury and ICU nephrology; artificial intelligence; clinical nephrology; decision support; mortality; patient-centered outcomes; quality of care; risk prediction

Mesh：

Year:  2021        PMID： 35373136      PMCID： PMC8967630          DOI： 10.34067/KID.0003472021

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


× No keyword cloud information.
  38 in total

1.  The Development of a Machine Learning Inpatient Acute Kidney Injury Prediction Model.

Authors:  Jay L Koyner; Kyle A Carey; Dana P Edelson; Matthew M Churpek
Journal:  Crit Care Med       Date:  2018-07       Impact factor: 7.598

2.  Epidemiology of Acute Kidney Injury in Critically Ill Children and Young Adults.

Authors:  Ahmad Kaddourah; Rajit K Basu; Sean M Bagshaw; Stuart L Goldstein
Journal:  N Engl J Med       Date:  2016-11-18       Impact factor: 91.245

3.  AKI!Now Initiative: Recommendations for Awareness, Recognition, and Management of AKI.

Authors:  Kathleen D Liu; Stuart L Goldstein; Anitha Vijayan; Chirag R Parikh; Kianoush Kashani; Mark D Okusa; Anupam Agarwal; Jorge Cerdá
Journal:  Clin J Am Soc Nephrol       Date:  2020-04-21       Impact factor: 8.237

4.  1% Steps for Health Care Reform: Implications for health care policy and for researchers.

Authors:  Zack Cooper; Fiona Scott Morton
Journal:  Health Serv Res       Date:  2021-04-19       Impact factor: 3.734

5.  Electronic health record alerts for acute kidney injury: multicenter, randomized clinical trial.

Authors:  F Perry Wilson; Melissa Martin; Yu Yamamoto; Caitlin Partridge; Erica Moreira; Tanima Arora; Aditya Biswas; Harold Feldman; Amit X Garg; Jason H Greenberg; Monique Hinchcliff; Stephen Latham; Fan Li; Haiqun Lin; Sherry G Mansour; Dennis G Moledina; Paul M Palevsky; Chirag R Parikh; Michael Simonov; Jeffrey Testani; Ugochukwu Ugwuowo
Journal:  BMJ       Date:  2021-01-18

Review 6.  For Whom the Bell Tolls: Acute Kidney Injury and Electronic Alerts for the Pediatric Nephrologist.

Authors:  Elizabeth D Nguyen; Shina Menon
Journal:  Front Pediatr       Date:  2021-04-12       Impact factor: 3.418

7.  External Validation of a Widely Implemented Proprietary Sepsis Prediction Model in Hospitalized Patients.

Authors:  Andrew Wong; Erkin Otles; John P Donnelly; Andrew Krumm; Jeffrey McCullough; Olivia DeTroyer-Cooley; Justin Pestrue; Marie Phillips; Judy Konye; Carleen Penoza; Muhammad Ghous; Karandeep Singh
Journal:  JAMA Intern Med       Date:  2021-08-01       Impact factor: 44.409

Review 8.  Economic impact of clinical decision support interventions based on electronic health records.

Authors:  Daniel Lewkowicz; Attila Wohlbrandt; Erwin Boettinger
Journal:  BMC Health Serv Res       Date:  2020-09-15       Impact factor: 2.655

9.  Prediction of the development of acute kidney injury following cardiac surgery by machine learning.

Authors:  Po-Yu Tseng; Yi-Ting Chen; Chuen-Heng Wang; Kuan-Ming Chiu; Yu-Sen Peng; Shih-Ping Hsu; Kang-Lung Chen; Chih-Yu Yang; Oscar Kuang-Sheng Lee
Journal:  Crit Care       Date:  2020-07-31       Impact factor: 9.097
View more
  1 in total

Review 1.  Overview of Diagnostic Criteria and Epidemiology of Acute Kidney Injury and Acute Kidney Disease in the Critically Ill Patient.

Authors:  Bethany C Birkelo; Neesh Pannu; Edward D Siew
Journal:  Clin J Am Soc Nephrol       Date:  2022-03-15       Impact factor: 10.614
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.