The future of artificial intelligence in intensive care: moving from predictive to actionable AI

Jim M. Smit; Jesse H. Krijthe; the Causal Inference for ICU Collaborators; Jasper van Bommel

doi:10.1007/s00134-023-07102-y

The future of artificial intelligence in intensive care: moving from predictive to actionable AI

Jim M. Smit^*, Jesse H. Krijthe, the Causal Inference for ICU Collaborators, Jasper van Bommel

^*Corresponding author for this work

Research output: Contribution to journal › Comment/Letter to the editor › Academic › peer-review

13 Citations (Scopus)

19 Downloads (Pure)

Original language	English
Pages (from-to)	1114-1116
Number of pages	3
Journal	Intensive Care Medicine
Volume	49
Issue number	9
Early online date	6 Jun 2023
DOIs	https://doi.org/10.1007/s00134-023-07102-y
Publication status	Published - Sept 2023

Bibliographical note

Funding Information:
The Causal Inference for ICU Collaborators: M.E. van Genderen, MD, PhD, Department of Intensive Care, Erasmus Medical Center, Rotterdam, The Netherlands; J.A. Labrecque, PhD, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands; M. Komorowski, MD, PhD, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, United Kingdom; D.A.M.P.J. Gommers, MD, PhD, Department of Intensive Care, Erasmus Medical Center, Rotterdam, The Netherlands; M. J. T. Reinders, PhD, EEMCS, Pattern Recognition and Bio-Informatics Group, Delft University of Technology, Delft, The Netherlands.

Access to Document

10.1007/s00134-023-07102-yLicence: CC BY-NC

The future of artificial intelligence in intensive care moving from predictive to actionable AIFinal published version, 1.26 MBLicence: CC BY-NC

Cite this

@article{4147bfb899da41bc9432bb30bf626ddd,

title = "The future of artificial intelligence in intensive care: moving from predictive to actionable AI",

author = "Smit, {Jim M.} and Krijthe, {Jesse H.} and {the Causal Inference for ICU Collaborators} and {van Bommel}, Jasper and {van Genderen}, {M. E.} and Labrecque, {J. A.} and Gommers, {D. A.M.P.J.} and Reinders, {M. J.T.}",

note = "Funding Information: The Causal Inference for ICU Collaborators: M.E. van Genderen, MD, PhD, Department of Intensive Care, Erasmus Medical Center, Rotterdam, The Netherlands; J.A. Labrecque, PhD, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands; M. Komorowski, MD, PhD, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, United Kingdom; D.A.M.P.J. Gommers, MD, PhD, Department of Intensive Care, Erasmus Medical Center, Rotterdam, The Netherlands; M. J. T. Reinders, PhD, EEMCS, Pattern Recognition and Bio-Informatics Group, Delft University of Technology, Delft, The Netherlands.",

year = "2023",

month = sep,

doi = "10.1007/s00134-023-07102-y",

language = "English",

volume = "49",

pages = "1114--1116",

journal = "Intensive Care Medicine",

issn = "0342-4642",

publisher = "Springer Science+Business Media",

number = "9",

}

TY - JOUR

T1 - The future of artificial intelligence in intensive care

T2 - moving from predictive to actionable AI

AU - Smit, Jim M.

AU - Krijthe, Jesse H.

AU - the Causal Inference for ICU Collaborators

AU - van Bommel, Jasper

AU - van Genderen, M. E.

AU - Labrecque, J. A.

AU - Gommers, D. A.M.P.J.

AU - Reinders, M. J.T.

N1 - Funding Information: The Causal Inference for ICU Collaborators: M.E. van Genderen, MD, PhD, Department of Intensive Care, Erasmus Medical Center, Rotterdam, The Netherlands; J.A. Labrecque, PhD, Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands; M. Komorowski, MD, PhD, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, United Kingdom; D.A.M.P.J. Gommers, MD, PhD, Department of Intensive Care, Erasmus Medical Center, Rotterdam, The Netherlands; M. J. T. Reinders, PhD, EEMCS, Pattern Recognition and Bio-Informatics Group, Delft University of Technology, Delft, The Netherlands.

PY - 2023/9

Y1 - 2023/9

UR - http://www.scopus.com/inward/record.url?scp=85161090364&partnerID=8YFLogxK

U2 - 10.1007/s00134-023-07102-y

DO - 10.1007/s00134-023-07102-y

M3 - Comment/Letter to the editor

C2 - 37278758

AN - SCOPUS:85161090364

SN - 0342-4642

VL - 49

SP - 1114

EP - 1116

JO - Intensive Care Medicine

JF - Intensive Care Medicine

IS - 9

ER -

The future of artificial intelligence in intensive care: moving from predictive to actionable AI

Bibliographical note

Access to Document

Other files and links

Cite this