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Yingda Xia

As seen in: Nature, arXiv, Science Magazine
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Articles

Large-scale esophageal cancer screening through noncontrast computed tomography and artificial intelligence

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By Jian Zhou, Guangyu Guo, Jiawen Yao, Chunpeng Zheng, Xiaochen Feng, Xianghua Ye, Yongjin J. Zhou, Pei Yang, Lukas Lambert, Shaojun Zheng, Qiong Li, Yingda Xia, Wenchao Guo, yi chen, Mengdi Zhang, Yu Jiang, Dandan Zheng, Haomiao Qing, Peng Zhou, Mei Lan, Lei Wu, Yong Li, Haifeng Wang, Yong Zhou, Junqiang Chen, Liyan Xu, Chenying Lu, Lin Chen, Junwei Han, Chengwei Shao, Wenqiang Wei, Kai Zhang, Jianfeng Zhang, Dingwen Zhang, Jiansong Ji, Chuanmiao Xie, Kai Cao, Yuqian Zhao, Ling Zhang, Qifeng Wang, Qinji Yu, Wusong Liu
| Nature Verified
Abstract The absence of accurate, noninvasive, scalable screening tools keeps early esophageal cancer (EC) detection a global health challenge. Although noncontrast computed tomography (NC CT) is widely accessible, the esophagus is a hollow tubular structure prone to collapse and motion artifacts, making small early malignant lesions difficult to distinguish from normal tissue.
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An expert-level generalist AI for abdominal CT diagnosis

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By Chao Ning, Xingli Fan, Leonardo Miranda, Qi Zhang, Jianpeng Zhang, Weiwei Cao, Zilin Lu, Wanxing Chang, Haonan Ding, Cao Chen, Zhi Li, Xing Xue, Sinuo Wang, Yutong Xie, Yong Xia, Qi Wu, Zhongyi Shui, Zhilin Zheng, Yanjie Zhou, Yingda Xia, Hongkan Wang, Xianghua Ye, Tao Ma, Shaoteng Zhang, Tony C.W. Mok
| Science Magazine Verified
Editor’s summary Structured Abstract Abstract Supplementary Materials References and Notes Information & Authors Metrics & Citations Check Access References Figures Tables Media Share This article has 0 eLetter . Editor’s summary Contrast-enhanced abdominal computed tomography (CT) is a common imaging modality used as part of the diagnostic evaluation for numerous conditions.
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Multi-modal AI for opportunistic screening, staging and progression risk stratification of steatotic liver disease

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By Yuan Gao Verified, Wanxing Chang, Bai Du, Xianghua Ye, Yingda Xia, Heng Guo, Xiaoming Zhang, Wei Liu, Ruobing Bai, Beibei Li, Jiawen Yao, Le Lu, Kai Cao, Ke Yan, Jun Chen, Jie Li, Yang Hou, Ling Zhang, Yu Shi
| Nature Verified
Abstract The global rise in steatotic liver disease poses a significant public health challenge. While non-contrast computed tomography scans hold promise for opportunistic detection of steatotic liver disease, their potential for staging and risk assessment remains underexplored.
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