Predicting Emergency Conversion in Minimally Invasive Liver Resection: Clinical Implications of an AI‐Based Preoperative Model

Boram Lee, Jai Young Cho, Ho‐Seong Han, Yoo‐Seok Yoon, Hae Won Lee, Yeshong Park, Seung Yeon Lim, Hyelim Joo

Open source

DOI: 10.1002/jhbp.70206
Published: 2026-11-10
Container: Journal of Hepato-Biliary-Pancreatic Sciences
Publisher: Wiley
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1002/jhbp.70206,
  title = {Predicting Emergency Conversion in Minimally Invasive Liver Resection: Clinical Implications of an AI‐Based Preoperative Model},
  author = {Boram Lee and Jai Young Cho and Ho‐Seong Han and Yoo‐Seok Yoon and Hae Won Lee and Yeshong Park and Seung Yeon Lim and Hyelim Joo},
  year = {2026},
  journal = {Journal of Hepato-Biliary-Pancreatic Sciences},
  doi = {10.1002/jhbp.70206},
  url = {https://doi.org/10.1002/jhbp.70206}
}

RIS

TY  - JOUR
TI  - Predicting Emergency Conversion in Minimally Invasive Liver Resection: Clinical Implications of an AI‐Based Preoperative Model
AU  - Boram Lee
AU  - Jai Young Cho
AU  - Ho‐Seong Han
AU  - Yoo‐Seok Yoon
AU  - Hae Won Lee
AU  - Yeshong Park
AU  - Seung Yeon Lim
AU  - Hyelim Joo
PY  - 2026
JO  - Journal of Hepato-Biliary-Pancreatic Sciences
DO  - 10.1002/jhbp.70206
UR  - https://doi.org/10.1002/jhbp.70206
ER  -

APA

Lee, B., Cho, J. Y., Han, H., Yoon, Y., Lee, H. W., Park, Y., Lim, S. Y., & Joo, H. (2026). Predicting Emergency Conversion in Minimally Invasive Liver Resection: Clinical Implications of an AI‐Based Preoperative Model. Journal of Hepato-Biliary-Pancreatic Sciences. https://doi.org/10.1002/jhbp.70206

Source records

crossref · retrieved 2026-11-10T22:05:00.213Z