Fully flexing the potential of AI in intensive care: reinforcement learning with randomization when needed.

Elbers P, Ercole A, Angus DC

DOI: 10.1007/s00134-026-08576-2
Published: 2026 Aug 17
Container: Intensive care medicine
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s00134-026-08576-2,
  title = {Fully flexing the potential of AI in intensive care: reinforcement learning with randomization when needed.},
  author = {Elbers P and Ercole A and Angus DC},
  year = {2026},
  journal = {Intensive care medicine},
  doi = {10.1007/s00134-026-08576-2},
  url = {https://doi.org/10.1007/s00134-026-08576-2}
}

RIS

TY  - JOUR
TI  - Fully flexing the potential of AI in intensive care: reinforcement learning with randomization when needed.
AU  - Elbers P
AU  - Ercole A
AU  - Angus DC
PY  - 2026
JO  - Intensive care medicine
DO  - 10.1007/s00134-026-08576-2
UR  - https://doi.org/10.1007/s00134-026-08576-2
ER  -

APA

P, E., A, E., & DC, A. (2026). Fully flexing the potential of AI in intensive care: reinforcement learning with randomization when needed.. Intensive care medicine. https://doi.org/10.1007/s00134-026-08576-2

Source records

pubmed · retrieved 2026-09-26T10:56:26.033Z