Your Location：
Home >
Browse articles >
Artificial Intelligence Applications in Fangcang Shelter Hospitals: Opportunities and Challenges
Chinese Medical Sciences Journal   Vol. 40, Issue 3, Pages: 197-202(2025)
Think Tank Forum | Updated：2025-10-14

    • Artificial Intelligence Applications in Fangcang Shelter Hospitals: Opportunities and Challenges

    • “Reporting on the latest advancements in pandemic response technology, Fangcang shelter hospitals are being enhanced with artificial intelligence to improve emergency preparedness and patient care. Expert research has established AI systems that address challenges in site selection, clinical support, and operational management, laying a foundation for the construction of more efficient and responsive healthcare facilities.”

    • DOI：10.24920/004510    

      CLC：

    • Received：29 July 2025，

      Accepted：19 August 2025，

      Published Online：25 September 2025，

      Published：30 September 2025

    Scan QR Code

  • Li Ming,Li Xiao-Hu,Min Kai-Yuan,et al.Artificial Intelligence Applications in Fangcang Shelter Hospitals: Opportunities and Challenges[J].Chinese Medical Sciences Journal,2025,40(03):197-202.doi:10.24920/004510 DOI：

  •  
  •  

0

Views

13

Downloads

0

Scopus

PlumX

>
Alert me when the article has been cited
Submit
Outline
No Sections

Related Articles

Advances of Artificial Intelligence Application in Medical Imaging of Ovarian Cancers
Artificial Intelligence in Healthcare and Medicine: Promises, Ethical Challenges and Governance
Diversity, Complexity, and Challenges of Viral Infectious Disease Data in the Big Data Era: A Comprehensive Review
Intelligent Electrocardiogram Analysis in Medicine: Data, Methods, and Applications

Related Author

Jingjing Lu
Zhe Wu
Xiaofei Huo
Xu Chen
Guan Jian
Yun Ma
Lu-Yao Qin
Xiao Ding

Related Institution

Department of Radiology, Fushun Central Hospital
Department of Radiology, Beijing United Family Hospital
Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College
Clinical Center, the National Scientific Data Sharing Platform for Population and Health
Key Laboratory of Pathogen Infection Prevention and Control (Peking Union Medical College), Ministry of Education
0