An Investigation Into the Comprehension, Perceptions, Application, and Determinants Affecting the Utilization of Deepseek Artificial Intelligence by Healthcare Professionals: A Cross‐Sectional Study
Mei Cha, Qin Zhang, Linlin Yu, Hairong Wang, Erdan Luo, Nan Huang, Wenjie Qing, Wenxu Yang, Mengjun Luo, Yiting Du, Yuanhu Lu, Haibo Yao, Jinghua Ye, Yinghong Fan, Qionghua Huang, Xiaobing Ren, Jie Lu, Liangyin Deng, Jianghui Cai, Yonghong Lin · 2025
Read An Investigation Into the Comprehension, Perceptions, Application, and Determinants Affecting the Utilization of Deepseek Artificial Intelligence by Healthcare Professionals: A Cross‐Sectional Study by Mei Cha, Qin Zhang, Linlin Yu, Hairong Wang, Erdan Luo, Nan Huang, Wenjie Qing, Wenxu Yang, Mengjun Luo, Yiting Du, Yuanhu Lu, Haibo Yao, Jinghua Ye, Yinghong Fan, Qionghua Huang, Xiaobing Ren, Jie Lu, Liangyin Deng, Jianghui Cai, Yonghong Lin (2025) 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-12703043.txt.
Description
Mei Cha and a large team of co-authors surveyed health workers in Chengdu, China, about the DeepSeek language model in a 2025 study. DeepSeek can read text, work with data, and help review medical images. The team wanted to know how much frontline staff knew about the tool, how they used it, and what shaped their choices.
The survey went to doctors, nurses, technicians, and office staff at two large hospitals for mothers and children, and 788 valid replies came back. Most staff had heard of DeepSeek, mainly through the news and from coworkers, and about three quarters had used it. Nearly nine in ten wanted training, above all hands-on practice. Higher degrees were linked with more use, while staff over fifty used the tool less.
Catalog record
| CREATOR | Mei Cha, Qin Zhang, Linlin Yu, Hairong Wang, Erdan Luo, Nan Huang, Wenjie Qing, Wenxu Yang, Mengjun Luo, Yiting Du, Yuanhu Lu, Haibo Yao, Jinghua Ye, Yinghong Fan, Qionghua Huang, Xiaobing Ren, Jie Lu, Liangyin Deng, Jianghui Cai, Yonghong Lin |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 42 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |