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Xueying Wang

As seen in: Color Research & Application, Nature, The Guardian, Wiley, Wiley Online Library, Memory Studies, Frontiers, MDPI, Taylor & Francis Online, ACS Publications and
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Articles

Prospective evaluation of a real-time AI assistant for outpatient documentation and quality control

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By Hongliu Du, Jialing Li, Bing Xiao, Xueying Wang, Wenxin Xue, Mei Deng, Shuzhe Tan, Jiamin Wang, Chaijie Luo, Boru Chen, Ting Yang, Zhan Chen, Joseph J. Y. Sung, Honggang Yu, Qinxuan Zu
| Nature Verified
Abstract Outpatient electronic medical record (EMR) quality is highly variable, yet few tools exist to support real-time documentation. Here we developed SMART-ASSISTANT, an end-to-end AI system that automates EMR writing for outpatients through integrated audio transcription, structured EMR generation, quality control, and assisted diagnosis.
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National heterogeneity and disparity in academic gatekeeping

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By Xueying Wang, Jialin Liu, Danqun Zhao
| Wiley Online Library Verified
CONFLICT OF INTEREST STATEMENT The authors declare no conflict of interest. DATA AVAILABILITY STATEMENT The code supporting the analyses presented in this study is publicly available at https://github.com/wangxueying149/NationalHeterogeneityAndDisparityInAcademicGatekeeping. Supporting Information Filename Description asi70125-sup-0001-Supinfo.docxWord 2007 document , 669.5 KB Data S1. Peer review data. Data S2. National political, economic, and cultural conditions. Data S3. Country status coding.
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PSHIC reveals allele-specific chromatin organization by phasing-free structural modeling

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By Wei Liu, Xueying Wang, Yuwei Zhang, Guangze Pan, Shuaicheng Li
| Nature Verified
Abstract Resolving the distinct 3D chromatin architectures of parental chromosomes is critical for understanding diploid genome function, but many haplotype-resolved Hi-C contact-map methods remain constrained by their reliance on phased single-nucleotide polymorphisms (SNPs). This dependency treats reconstruction as a simple tag-and-sort problem, leading to massive data loss, extreme fragility to phasing errors, and inapplicability in SNP-sparse contexts.
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