From prediction to impact: The next frontier of perioperative artificial intelligence.

Hu L, Akca O, Clifford G, Muehlschlegel JD

DOI: 10.1016/j.jclinane.2026.112368
Published: 2026 Nov 9
Container: Journal of clinical anesthesia
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.jclinane.2026.112368,
  title = {From prediction to impact: The next frontier of perioperative artificial intelligence.},
  author = {Hu L and Akca O and Clifford G and Muehlschlegel JD},
  year = {2026},
  journal = {Journal of clinical anesthesia},
  doi = {10.1016/j.jclinane.2026.112368},
  url = {https://doi.org/10.1016/j.jclinane.2026.112368}
}

RIS

TY  - JOUR
TI  - From prediction to impact: The next frontier of perioperative artificial intelligence.
AU  - Hu L
AU  - Akca O
AU  - Clifford G
AU  - Muehlschlegel JD
PY  - 2026
JO  - Journal of clinical anesthesia
DO  - 10.1016/j.jclinane.2026.112368
UR  - https://doi.org/10.1016/j.jclinane.2026.112368
ER  -

APA

L, H., O, A., G, C., & JD, M. (2026). From prediction to impact: The next frontier of perioperative artificial intelligence.. Journal of clinical anesthesia. https://doi.org/10.1016/j.jclinane.2026.112368

Source records

pubmed · retrieved 2026-11-10T12:21:22.537Z