Predicting Postresection Colorectal Liver Metastases Recurrence Using Advanced Graph Neural Networks with Explainability and Causal Inference

Colorectal liver metastases (CRLM) are a significant challenge in oncology, as recurrence after liver resection is frequently observed. Accurate prediction of CRLM recurrence is important to guide specific treatment strategies and improve clinical outcomes. To address this issue, this study proposes...

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Bibliografski detalji

Glavni autori:	Jubair Ahmed, Md. Abdur Rahman, Mohaimenul Azam Khan Raiaan, Sami Azam
Format:	Artigo
Jezik:	Inglês
Izdano:	Wiley 2026-02-01
Serija:	Advanced Intelligent Systems
Teme:	causal inference explainability graphs liver metastases recurrence
Online pristup:	https://doi.org/10.1002/aisy.202500596
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