Application of artificial intelligence in medical education: A meta-ethnographic synthesis
Artificial intelligence's role in medical education, while not yet extensive, is impactful and promising. Despite challenges, including ethical concerns over privacy, responsibility, and humanistic care, future efforts should focus on integrating AI through targeted courses to improve educational quality.
Authors
- Yijie Jia (ORCID: https://orcid.org/0000-0002-4338-8397)
- Hong‐Lin Chen (ORCID: https://orcid.org/0000-0003-0147-6863)
- Meng‐Wei Ge (ORCID: https://orcid.org/0000-0002-9190-5694)
- Xiaomin Li (ORCID: https://orcid.org/0000-0001-7587-0543)
- Fei‐Hong Hu (ORCID: https://orcid.org/0000-0003-2919-8631)
- Hai-Yan Shi
- Xiaoling Chen (ORCID: https://orcid.org/0000-0002-5240-1506)
- Lu-Ting Shen
- Abdur Rehman (ORCID: https://orcid.org/0000-0003-1510-0939)
- Jian‐Zeng Lan
- Wei Li (ORCID: https://orcid.org/0000-0003-3694-8621)
Institutions
- Nantong University (CN)
- Wenzhou Medical University (CN)
- Affiliated Hospital of Nantong University (CN)
- Second People's Hospital of NanTong (CN)
- Hôpital Avicenne (FR)
- Mayo Hospital (PK)
- Dongyang People's Hospital (CN)
Publication Details
- Journal
- Medical Teacher
- Published
- 2024-10-31
- DOI
- https://doi.org/10.1080/0142159x.2024.2418936
- Citations
- 8
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.96