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...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Jubair Ahmed, Md. Abdur Rahman, Mohaimenul Azam Khan Raiaan, Sami Azam
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Wiley 2026-02-01
Sarja:	Advanced Intelligent Systems
Aiheet:	causal inference explainability graphs liver metastases recurrence
Linkit:	https://doi.org/10.1002/aisy.202500596
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