Can large language models extract operative standards from narrative operative reports in rectal cancer?

Karen Trang; Beiqun Zhao; Colleen P. Flanagan; Logan Pierce; Lindsay Welton; Melissa Gunderson; Genevieve B. Melton; Elizabeth Wick

doi:10.1016/j.surg.2025.110037

Can large language models extract operative standards from narrative operative reports in rectal cancer?

Karen Trang
, Beiqun Zhao
, Colleen P. Flanagan
, Logan Pierce
, Lindsay Welton
, Melissa Gunderson
, Genevieve B. Melton
, Elizabeth Wick

Research output: Contribution to journal › Review article › peer-review

Original language	English (US)
Article number	110037
Journal	Surgery (United States)
Volume	191
DOIs	https://doi.org/10.1016/j.surg.2025.110037
State	Published - Mar 1 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

PubMed: MeSH publication types

Journal Article

Publisher link

10.1016/j.surg.2025.110037

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Cite this

@article{231c472a704f471fb794549d331f2f21,

title = "Can large language models extract operative standards from narrative operative reports in rectal cancer?",

author = "Karen Trang and Beiqun Zhao and Flanagan, \{Colleen P.\} and Logan Pierce and Lindsay Welton and Melissa Gunderson and Melton, \{Genevieve B.\} and Elizabeth Wick",

year = "2026",

month = mar,

day = "1",

doi = "10.1016/j.surg.2025.110037",

language = "English (US)",

volume = "191",

journal = "Surgery (United States)",