A Chinese Expert Consensus on the Artificial Intelligence Proficiency of Medical Students: Competencies and the Multi‐Modal Assessment
This consensus provides authoritative, China-specific guidance for defining and assessing medical students' AI literacy, adhering to national policies and regulations. It offers a core action framework for optimizing AI integration into medical education, fostering future healthcare professionals proficient in both AI technology and medical humanism, with a commitment to dynamic updating to adapt to evolving AI advancements.
Authors
- Ge Wu (ORCID: https://orcid.org/0000-0002-8971-1911)
- Mengchun Gong
- Jin Li (ORCID: https://orcid.org/0000-0002-6131-456X)
- Yunfei Hou (ORCID: https://orcid.org/0000-0001-9443-4026)
- Li Hong (ORCID: https://orcid.org/0000-0001-5096-0323)
- Tianwen Lai
- Yonghui Ma
- Bohan Zhang
- Wei Chen
- Zhirong Zeng
- Bo Jin
Institutions
- Sun Yat-sen University (CN)
- Guangdong Medical College (CN)
- Xiamen University (CN)
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Peking University (CN)
- Dongguan University of Technology (CN)
- Shanghai Children's Medical Center (CN)
- Digital China Health (China) (CN)
- Guangzhou Women and Children Medical Center (CN)
- Dongguan People’s Hospital (CN)
- The First Affiliated Hospital, Sun Yat-sen University (CN)
- Guangzhou Medical University (CN)
Publication Details
- Journal
- Health care science
- Published
- 2026-02-01
- DOI
- https://doi.org/10.1002/hcs2.70049
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00