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Purpose: This brief report aims to summarize and discuss the methodologies of eXplainable Artificial Intelligence (XAI) and their potential applications in surgery.

Methods: We briefly introduce explainability methods, including global and individual explanatory features, methods for imaging data and time series, as well as similarity classification, and unraveled rules and laws.

Results: Given the increasing interest in artificial intelligence within the surgical field, we emphasize the critical importance of transparency and interpretability in the outputs of applied models.

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In Memoriam: Emeritus Professor Dr. Jacques Aimé Gruwez .

Acta Chir Belg

January 2025

Past President RBSS, emeritus Chief Department of Thoracic Surgery at UZ Leuven.

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Objectives: The Ross procedure for aortic regurgitation (AR) and abnormal aortic valve morphologies is associated with an increased risk of autograft dilatation. Autograft support may ameliorate this problem. We analyzed the results for all haemodynamic lesions and the effect of autograft support.

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Background: This study aimed to investigate the demographics and to evaluate long-term outcomes of acute type A aortic dissection (ATAAD) in surgically treated patients ≤40 years in China.

Methods: This study included patients aged ≤40 with ATAAD who underwent surgical treatment at our institution between 2015 and 2019. The patients were categorized into groups according to heritable thoracic aortic disease (HTAD) presence or absence.

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