Artificial intelligence assessment of Parkland’s grading scale in laparoscopic cholecystectomy: a step toward real-world outcome prediction

Yuval Mirkin, Monica Ortenzi, Eran Nizri, Danit Dayan

Open source

DOI: 10.1007/s13304-026-02761-0
Published: 2026-09-15
Container: Updates in Surgery
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s13304-026-02761-0,
  title = {Artificial intelligence assessment of Parkland’s grading scale in laparoscopic cholecystectomy: a step toward real-world outcome prediction},
  author = {Yuval Mirkin and Monica Ortenzi and Eran Nizri and Danit Dayan},
  year = {2026},
  journal = {Updates in Surgery},
  doi = {10.1007/s13304-026-02761-0},
  url = {https://doi.org/10.1007/s13304-026-02761-0}
}

RIS

TY  - JOUR
TI  - Artificial intelligence assessment of Parkland’s grading scale in laparoscopic cholecystectomy: a step toward real-world outcome prediction
AU  - Yuval Mirkin
AU  - Monica Ortenzi
AU  - Eran Nizri
AU  - Danit Dayan
PY  - 2026
JO  - Updates in Surgery
DO  - 10.1007/s13304-026-02761-0
UR  - https://doi.org/10.1007/s13304-026-02761-0
ER  -

APA

Mirkin, Y., Ortenzi, M., Nizri, E., & Dayan, D. (2026). Artificial intelligence assessment of Parkland’s grading scale in laparoscopic cholecystectomy: a step toward real-world outcome prediction. Updates in Surgery. https://doi.org/10.1007/s13304-026-02761-0

Source records

crossref · retrieved 2026-09-25T17:22:02.820Z