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Xiaoying Dai

As seen in: Nature, MDPI, Canadian Journal of Infectious Diseases & Medical Microbiology
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Articles

Multidisciplinary blinded randomized expert evaluation of large language models for clinical diagnosis and management

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By Peikai Chen, Jiaying Zhou, Shaoxi Chen, Chenguang Xu, Lihua Yuan, Xiaoying Dai, Xiaowei Sylvia Chen, Xia Li, Xiaolong Liang, Jiancheng Yang, Jun Jin, Kanglin Dai, Yuzhen Cui, Jiansheng Xie, Libing Luo, Haibing Xiao, Shijie Yin, Jun Yang, Jianliang Chen, Yihua Chen, Qingshan Zhou, Lina Zhao, Min Wu, Xin Tang, Lei Rong, Zanxin Wang, Yanli Wang, Liwen Cui, Xiangyang Li, Yong Hu, Huiren Tao, Nan Wu, David Shih, Minxin Wei, Michael Kai-Tsun To, Kenneth Cheung, Jifu Cai, Yanzhe Wei, Shaofeng Gong, Guan-Ming Kuang, Qianshen Zhang, Weifu Qiu, Pearl Pai
| Nature Verified
Abstract Direct clinical uses of large language models (LLMs) remain controversial, partly because of the lack of methodological rigor in assessing their risks and benefits in medicine. We developed Medieval, a multidisciplinary, randomized, and blinded expert evaluation framework. A ten-point Dreyfus-based scoring scale linked to career stages of human physicians was designed to reflect response qualities.
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Genetic Analysis of Isolated Fetal Growth Restriction

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By Libing Luo, Chunchun Chen, Yanyan Li Verified, Xiaoying Dai
| preprints.org
Submitted: 09 December 2025 You are already at the latest version Background: Fetal Growth Restriction (FGR) is an important obstetric condition associat-ed with perinatal morbidity and long-term developmental risks. This study aimed to evaluate the genetic etiology of isolated FGR using karyotyping, chromosomal microarray analysis (CMA), and trio-based whole exome sequencing (WES).
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Fetal Hyperthyroidism with Maternal Hypothyroidism: Two Cases of Intrauterine Therapy

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By Lu Hong, Ka Wang Cheung, Xiaoying Dai, Libing Luo
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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