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Huiying Rao

As seen in: Color Research & Application, Nature, Frontiers, Frontiers in Public Health, JAMA Network, JHEP Reports
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Articles

Smartphone-Based Proactive Self-Screening for Ocular Surface Malignancies : A Nonrandomized Clinical Trial

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By Ruixin Wang, Shaowei Bi, Duoru Lin, Mingyuan Li, Lanqin Zhao, Yukun Zhou, Ling Jin, Wenben Chen, Ruiyang Li, Yuanjun Shang, Huasheng Yang, Rongxin Chen, Wei Xiao, Siming Ai, Jianbing Li, Shiqi Ling, Xiaohang Wu, Zhixiong Li, Guiqin Liu, Wen Lin, Huiying Rao, Xiangda Meng, Hua Yan, Cong Nie, Min Zhu, Huijing Ye, Haotian Lin, Yinyue Lu
| JAMA Network Verified
Smartphone-Based Proactive Self-Screening for Ocular Surface Malignancies: A Nonrandomized Clinical Trial Supplement 1. eFigure 1. Overview of the three-stage study eFigure 2. Taxonomy of pigmented ocular-surface lesions eTable 1A. Internal ZOC dataset for CaT development eTable 1B. External tests from multiple hospitals and websites eTable 1C. Prospective slit-lamps, subset, smartphone and app datasets eFigure 3. Representative images of included ocular surface pigmented lesions eFigure 4.
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Assessing the reliability of non-cycloplegic refraction in children: a machine learning approach based on non-cycloplegic parameters

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By Jianning Huang, Yuyang Yang, Bowen Zhang, Xiaobin Hong, Jinyu Zhong, Kunhong Xiao, Jiahao Liu, Huiying Rao, Junhua Zhang, Haoqiang Cui, Zhenbao Zhou
| Frontiers in Public Health Verified
Abstract Background: Traditional cycloplegic refraction is the gold standard for pediatric vision screening but is often limited by low efficiency and poor compliance. This study aimed to develop a machine learning model using non-cycloplegic visual function and refractive parameters to evaluate the reliability of non-cycloplegic refraction in children and adolescents.
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Development of a CT radiomics and clinical feature combined model for predicting early recurrence of surgical resected hepatocellular carcinoma - Scientific Reports

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By Minjun Liao, Shengjun Huo, Xiaoxiao Wang, Zilong Wang, Xin Ai, Kai Wang, Feng Liu, Yuanping Zhou, Huiying Rao, Naying Liao, Baiyi Liu
| Nature Verified
Abstract Recurrence rate remains unsatisfactory among surgical resected hepatocellular carcinoma (HCC) patients with radical resection intention, and effective surveillance methods are lacking for post-operative recurrence. 436 HCC patients were selected for ultimate analyses. Significant features were extracted on favorable regions of interest (ROIs) of contrast-enhanced CT (CECT) and selected by least absolute shrinkage and selection operator (LASSO) method to construct radiomics signature.
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