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Ying He on Muck Rack

Ying He

As seen in: Color Research & Application, Nature, Wiley, Wiley Online Library, arXiv, PLOS, PLOS ONE, BMJ Open Respiratory Research, Frontiers, Frontiers in Immunology and
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Articles

Large language models as sources of diabetic retinopathy patient education: a comparative evaluation of safety, health information quality, and readability

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By Zhiqi Chen, Wen Liu, Tian Zheng, Ying Li, Qing Bao, Hongmei Yao, Ying He, Pingting Ji
| Frontiers in Public Health Verified
Abstract Background: Patients increasingly use large language models (LLMs) to seek medical information, but their performance in answering diabetic retinopathy (DR) questions remains insufficiently characterized. Objective: To evaluate the safety, accuracy, patient-centered communication, information quality, transparency, and readability of diabetic retinopathy information generated by widely accessible large language models.
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The association between social capital and mental health among older people living with HIV: a systematic review

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By Hongyu Xia, Ying He, Le Yang, Qi Yu, Xinjing Cao
| Frontiers in Public Health Verified
Abstract Background: Older people living with human immunodeficiency virus (HIV) constitute a vulnerable group in society and are at high risk of developing mental health problems. Although strengthening social capital is a common recommendation to reduce such mental health risks, no systematic review has examined the link between social capital and mental health among older people living with HIV.
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Targeting ferroptosis alleviates burn-induced acute kidney injury

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By Jia-yuan Li, Zi-Yu Wang, Ying He, Juan Lin, Xiao-Nan Wu, Jiyi Huang, Zeng-Fa Mi, Chao-Yu Fang, Jun-Min Ding, Hua-Qiang Zhuo, Ya-Ying Wu, Xue-Kun Wang
| Nature Verified
Abstract Acute kidney injury (AKI) is one of the most common and lethal complications in severely burned patients. Its clinical management has long been challenged by a dilemma: high incidence and mortality rates coexist with the absence of targeted therapies, largely due to an incomplete understanding of the molecular networks that drive “burn-to-kidney” injury.
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