Author's Reply: Refining Predictive Models for Early Extrahepatic Recurrence in Colorectal Liver Metastases: Opportunities Beyond Machine Learning

Jun Kawashima; Timothy M. Pawlik

doi:10.1002/wjs.12590

Author's Reply: Refining Predictive Models for Early Extrahepatic Recurrence in Colorectal Liver Metastases: Opportunities Beyond Machine Learning

Jun Kawashima
, Timothy M. Pawlik

Research output: Contribution to journal › Letter › peer-review

Original language	English
Pages (from-to)	1379-1380
Number of pages	2
Journal	World Journal of Surgery
Volume	49
Issue number	5
DOIs	https://doi.org/10.1002/wjs.12590
State	Published - May 2025

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10.1002/wjs.12590

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title = "Author's Reply: Refining Predictive Models for Early Extrahepatic Recurrence in Colorectal Liver Metastases: Opportunities Beyond Machine Learning",

author = "Jun Kawashima and Pawlik, \{Timothy M.\}",

year = "2025",

month = may,

doi = "10.1002/wjs.12590",

language = "English",

volume = "49",

pages = "1379--1380",

journal = "World Journal of Surgery",

issn = "0364-2313",

number = "5",

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T2 - Refining Predictive Models for Early Extrahepatic Recurrence in Colorectal Liver Metastases: Opportunities Beyond Machine Learning

AU - Kawashima, Jun

AU - Pawlik, Timothy M.

PY - 2025/5

Y1 - 2025/5

UR - https://www.scopus.com/pages/publications/105002392586

U2 - 10.1002/wjs.12590

DO - 10.1002/wjs.12590

M3 - Letter

C2 - 40221983

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JF - World Journal of Surgery

IS - 5

ER -

Author's Reply: Refining Predictive Models for Early Extrahepatic Recurrence in Colorectal Liver Metastases: Opportunities Beyond Machine Learning

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