AI-based fingerprint index of visceral adipose tissue for the prediction of bowel damage in patients with Crohn’s disease

The fingerprint features of visceral adipose tissue (VAT) are intricately linked to bowel damage (BD) in patients with Crohn’s disease (CD). We aimed to develop a VAT fingerprint index (VAT-FI) using radiomics and deep learning features extracted from computed tomography (CT) images of 1,135 CD pati...

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Veröffentlicht in:	iScience 2024-10, Vol.27 (10), p.111022, Article 111022
Hauptverfasser:	Li, Xuehua, Hu, Cicong, Wang, Haipeng, Lin, Yuqin, Li, Jiaqiang, Cui, Enming, Zhuang, Xiaozhao, Li, Jianpeng, Lu, Jiahang, Zhang, Ruonan, Wang, Yangdi, Peng, Zhenpeng, Sun, Canhui, Li, Ziping, Chen, Minhu, Shi, Li, Mao, Ren, Huang, Bingsheng, Feng, Shi-Ting
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial Intelligence Health sciences
Online-Zugang:	Volltext
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