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Sponsored Artificial Intelligence: A Modern Approach, Global Edition Artificial Intelligence: A Modern Approach, Global Edition

Author

Jian Wang

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Sep 2026

Cross-phase attention-based multi-phase CT deep learning for preoperative risk stratification of gastric gastrointestinal stromal tumors in a multicenter study.

PURPOSE To develop and externally validate a multi-phase CT deep learning framework for preoperative risk stratification of 2-5 cm gastric gastrointestinal stromal tumors (GISTs). METHODS This retrospective multicenter study included 427 patients with pathologically confirmed gastric GISTs. At Center A, patients trea...

Si-Hang Guo, Cheng-Ze Yu, Jian-Ying Xu et al. · 0 citations
Open access Sep 2026

Multiphasic enhanced CT-based radiomics signature for differentiating adrenal metastases from lipid-poor adrenal adenomas

To investigate the diagnostic value of machine learning models based on CT radiomics in differentiating adrenal metastases (AMs) from lipid-poor adenomas (LPAs). A total of 212 patients with AMs and 213 patients with LPAs were retrospectively analyzed based on CT images from the First Affiliated Hospital o...

F. Zhu, Hui Wang, Heng-Feng Shi et al. · 0 citations
Open access Sep 2026

An interpretable machine learning framework using multi-phase computed tomography for differentiation of adrenal lipid-poor adenomas and pheochromocytomas

The DT model strikes an optimal balance between high diagnostic accuracy and inherent interpretability, offering a practical tool that may enhance clinical confidence when managing indeterminate adrenal lesions.

Pan-Liang Zhao, F. Zhu, C. Yan et al. · 0 citations
Open access Jul 2026

A radiomics-based machine learning model for the preoperative differentiation of lung adenocarcinoma subtypes

The radiomics model developed in this study facilitates the accurate and interpretable preoperative classification of lung adenocarcinoma subtypes and enhances diagnostic performance and supports clinical decision-making.

Feng-Juan Tian, Jing Ding, Zhen-Yu Cao et al. · 0 citations

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