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Artificial intelligence in early detection and prediction of pediatric/neonatal acute kidney injury: current status and future directions.
Raina, Rupesh; Nada, Arwa; Shah, Raghav; Aly, Hany; Kadatane, Saurav; Abitbol, Carolyn; Aggarwal, Mihika; Koyner, Jay; Neyra, Javier; Sethi, Sidharth Kumar.
Affiliation
  • Raina R; Akron Nephrology Associates/Cleveland Clinic Akron General Medical Center, Akron, OH, USA. rraina@akronchildrens.org.
  • Nada A; Department of Nephrology, Akron Children's Hospital, Akron, OH, USA. rraina@akronchildrens.org.
  • Shah R; Department of Medicine, Northeast Ohio Medical University, Rootstown, OH, USA. rraina@akronchildrens.org.
  • Aly H; Le Bonheur Children's Hospital & St. Jude Research Hospital, The University of Tennessee Health Science Center, Memphis, TN, USA.
  • Kadatane S; Akron Nephrology Associates/Cleveland Clinic Akron General Medical Center, Akron, OH, USA.
  • Abitbol C; Department of Medicine, Northeast Ohio Medical University, Rootstown, OH, USA.
  • Aggarwal M; Department of Neonatology, Cleveland Clinic Children's, Cleveland, OH, USA.
  • Koyner J; Department of Medicine, Northeast Ohio Medical University, Rootstown, OH, USA.
  • Neyra J; Department of Pediatrics, Division of Pediatric Nephrology, University of Miami Miller School of Medicine/Holtz Children's Hospital, Miami, FL, USA.
  • Sethi SK; Paediatric Nephrology & Paediatric Kidney Transplantation, Kidney and Urology Institute, Medanta, The Medicity Hospital, Gurgaon, India.
Pediatr Nephrol ; 2023 Oct 27.
Article in En | MEDLINE | ID: mdl-37889281
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Full text: 1 Database: MEDLINE Language: En Journal: Pediatr Nephrol Year: 2023 Type: Article Affiliation country: United States
Fulltext
Add to My VHL
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PubMed Links
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Full text: 1 Database: MEDLINE Language: En Journal: Pediatr Nephrol Year: 2023 Type: Article Affiliation country: United States