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Xianying Lu

As seen in: Nature, Wiley Online Library
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Articles

Healthcare professionals’ perceptions on AI-assisted decision-making in clinical practice: a qualitative meta-synthesis

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By Zihao Song, Dongjiang Hou, Ting Zhang, Huaping Huang, Xinyu Chen, Xianying Lu, Dingxi Bai, Xuemei Xie, YUE LI, Ting Cao, Yuhang Li, Xiaohui Dong, Jing Gao
| Nature Verified
Abstract Healthcare professionals’ perceptions are central to how AI-assisted decision-making (AI-ADM) is understood, accepted, and used across clinical contexts. This qualitative meta-synthesis, guided by Normalization Process Theory (NPT), synthesized healthcare professionals’ perceptions on AI-ADM and identified factors shaping its clinical use. Ten databases were searched through November 9, 2025.
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Preferences for long‐acting antiretroviral therapy among people with HIV: A systematic review of discrete choice experiments

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By Ting Cao, Xinyu Chen, Huan Chen, Xianying Lu
| Wiley Online Library Verified
Ting Cao, Xinyu Chen, Huan Chen are contributed equally to this work. CONFLICT OF INTEREST STATEMENT All authors declare no conflicts of interest. DATA AVAILABILITY STATEMENT The data that support the findings of this study are available in the supplementary material of this article. Supporting Information Filename Description hiv70198-sup-0001-Supinfo.docxWord 2007 document , 48.5 KB Data S1: Supporting Information. REFERENCES 1 WHO. HIV and AIDS.
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Nursing Students' Perceptions and Attitudes on the Application of Artificial Intelligence in Nursing Education: A Mixed‐Methods Systematic Review

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By Yuhang Li, Shi Chen, Xiaohui Dong, Xianying Lu
| Wiley Online Library Verified
Background The utilisation of artificial intelligence in the context of nursing education has become increasingly extensive. However, various studies show differing perspectives and attitudes among nursing students, and the findings have not been systematically synthesised. Aim To systematically review the perceptions and attitudes of nursing students on the application of artificial intelligence in nursing education. Design Mixed-methods systematic review.
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