Receptiveness of physicians towards artificial intelligence-driven drug prescription: a nationwide survey
Wei Zhang, Saibing Qi, Yu Hu, Xiaolin Zhai, Wangsong Zhai, Sichang Liu, Zhenwei Li, Wei Su, Simiao Liu, Wu Liu, Jie Liu, Jiejing Yin, Mengyi Xie, Ang Zheng, Lanying Zhang, Ai He, Ruifen Zhang, Weilin Liu, Kan Ding, Lianzhong Wu, Yongsheng Meng, Qi Li, Baima Yangjin, Ting Li, Chao Liu, Da Gao, Heng H · 2026
Read Receptiveness of physicians towards artificial intelligence-driven drug prescription: a nationwide survey by Wei Zhang, Saibing Qi, Yu Hu, Xiaolin Zhai, Wangsong Zhai, Sichang Liu, Zhenwei Li, Wei Su, Simiao Liu, Wu Liu, Jie Liu, Jiejing Yin, Mengyi Xie, Ang Zheng, Lanying Zhang, Ai He, Ruifen Zhang, Weilin Liu, Kan Ding, Lianzhong Wu, Yongsheng Meng, Qi Li, Baima Yangjin, Ting Li, Chao Liu, Da Gao, Heng H (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13354231.txt.
Description
Wei Zhang led a 2026 nationwide survey of physicians' openness to AI that prescribes drugs. Drug-giving AI has advanced slowly, and it is unknown whether keeping a doctor in the loop would raise acceptance, or in which settings physicians see such tools being used first. The survey studied views, perceived roles, and likely rollout contexts.
Physicians across China answered questions about AI giving, with designs that require human approval at each step. Replies reveal where doctors welcome assistance, where they demand oversight, and where they resist automation altogether. Developers and policymakers gain a grounded map of the trust problems that must be met before giving AI reaches routine care.
Catalog record
| CREATOR | Wei Zhang, Saibing Qi, Yu Hu, Xiaolin Zhai, Wangsong Zhai, Sichang Liu, Zhenwei Li, Wei Su, Simiao Liu, Wu Liu, Jie Liu, Jiejing Yin, Mengyi Xie, Ang Zheng, Lanying Zhang, Ai He, Ruifen Zhang, Weilin Liu, Kan Ding, Lianzhong Wu, Yongsheng Meng, Qi Li, Baima Yangjin, Ting Li, Chao Liu, Da Gao, Heng H |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 55 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |