Foundation Model‐Enabled Multimodal Deep Learning for Prognostic Prediction in Colorectal Cancer with Incomplete Modalities: A Multi‐Institutional Retrospective Study

ABSTRACT Accurate prognostic prediction for colorectal cancer is essential for optimizing personalized treatment strategies and improving patient outcomes. Current unimodal approaches encounter significant limitations in effectively leveraging multimodal data and confront challenges with the issue o...

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Autori principali:	Linhao Qu, Chengsheng Zhang, Yingyong Hou, Feng Tang, Weiqi Sheng, Dan Huang, Zhijian Song
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Wiley 2026-03-01
Serie:	Advanced Science
Soggetti:	artificial intelligence colorectal cancer foundation model multimodal deep learning prognosis prediction
Accesso online:	https://doi.org/10.1002/advs.202510931
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