Artificial intelligence-based early detection of acute kidney injury after cardiac surgery.

Jurij Matija Kalisnik; André Bauer; Ferdinand Aurel Vogt; Franziska Josephine Stickl; Janez Zibert; Matthias Fittkau; Thomas Bertsch; Samuel Kounev; Theodor Fischlein

doi:10.1093/ejcts/ezac289

Artificial intelligence-based early detection of acute kidney injury after cardiac surgery.

Jurij Matija Kalisnik (First author), André Bauer, Ferdinand Aurel Vogt, Franziska Josephine Stickl, Janez Zibert, Matthias Fittkau (Co-author), Thomas Bertsch (Co-author), Samuel Kounev, Theodor Fischlein (Last author)

Research output: Contribution to journal › Original Article › peer-review

15 Citations (Web of Science)

Original language	English
Journal	EUROPEAN JOURNAL OF CARDIO-THORACIC SURGERY
Volume	62
Issue number	5
DOIs	https://doi.org/10.1093/ejcts/ezac289
Publication status	Published - 2022

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10.1093/ejcts/ezac289

Cite this

Kalisnik, J. M., Bauer, A., Vogt, F. A., Stickl, F. J., Zibert, J., Fittkau, M., Bertsch, T., Kounev, S., & Fischlein, T. (2022). Artificial intelligence-based early detection of acute kidney injury after cardiac surgery. EUROPEAN JOURNAL OF CARDIO-THORACIC SURGERY , 62(5). https://doi.org/10.1093/ejcts/ezac289

Kalisnik, Jurij Matija ; Bauer, André ; Vogt, Ferdinand Aurel et al. / Artificial intelligence-based early detection of acute kidney injury after cardiac surgery. In: EUROPEAN JOURNAL OF CARDIO-THORACIC SURGERY 2022 ; Vol. 62, No. 5.

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title = "Artificial intelligence-based early detection of acute kidney injury after cardiac surgery.",

author = "Kalisnik, \{Jurij Matija\} and Andr{\'e} Bauer and Vogt, \{Ferdinand Aurel\} and Stickl, \{Franziska Josephine\} and Janez Zibert and Matthias Fittkau and Thomas Bertsch and Samuel Kounev and Theodor Fischlein",

note = "Kalisnik; Vogt; Fittkau; Fischlein: Department of Cardiac Surgery, Klinikum Nuremberg, Paracelsus Medical University, Nuremberg, Germany.; Sickl: Paracelsus Medical University, Nuremberg, Germany; Bertsch: Institute of Clinical Chemistry, Laboratory Medicine and Transfusion Medicine, Paracelsus Medical University, Nuremberg, Germany.",

year = "2022",

doi = "10.1093/ejcts/ezac289",

language = "English",

volume = "62",

journal = "EUROPEAN JOURNAL OF CARDIO-THORACIC SURGERY ",

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Kalisnik, JM, Bauer, A, Vogt, FA, Stickl, FJ, Zibert, J, Fittkau, M , Bertsch, T, Kounev, S & Fischlein, T 2022, 'Artificial intelligence-based early detection of acute kidney injury after cardiac surgery.', EUROPEAN JOURNAL OF CARDIO-THORACIC SURGERY , vol. 62, no. 5. https://doi.org/10.1093/ejcts/ezac289

Artificial intelligence-based early detection of acute kidney injury after cardiac surgery. / Kalisnik, Jurij Matija (First author); Bauer, André; Vogt, Ferdinand Aurel et al.
In: EUROPEAN JOURNAL OF CARDIO-THORACIC SURGERY , Vol. 62, No. 5, 2022.

Research output: Contribution to journal › Original Article › peer-review

TY - JOUR

T1 - Artificial intelligence-based early detection of acute kidney injury after cardiac surgery.

AU - Kalisnik, Jurij Matija

AU - Bauer, André

AU - Vogt, Ferdinand Aurel

AU - Stickl, Franziska Josephine

AU - Zibert, Janez

AU - Fittkau, Matthias

AU - Bertsch, Thomas

AU - Kounev, Samuel

AU - Fischlein, Theodor

N1 - Kalisnik; Vogt; Fittkau; Fischlein: Department of Cardiac Surgery, Klinikum Nuremberg, Paracelsus Medical University, Nuremberg, Germany.; Sickl: Paracelsus Medical University, Nuremberg, Germany; Bertsch: Institute of Clinical Chemistry, Laboratory Medicine and Transfusion Medicine, Paracelsus Medical University, Nuremberg, Germany.

PY - 2022

Y1 - 2022

U2 - 10.1093/ejcts/ezac289

DO - 10.1093/ejcts/ezac289

M3 - Original Article

C2 - 35521994

SN - 1010-7940

VL - 62

JO - EUROPEAN JOURNAL OF CARDIO-THORACIC SURGERY

JF - EUROPEAN JOURNAL OF CARDIO-THORACIC SURGERY

IS - 5

ER -

Kalisnik JM, Bauer A, Vogt FA, Stickl FJ, Zibert J, Fittkau M et al. Artificial intelligence-based early detection of acute kidney injury after cardiac surgery. EUROPEAN JOURNAL OF CARDIO-THORACIC SURGERY . 2022;62(5). doi: 10.1093/ejcts/ezac289