Attitudes and perceptions of Thai medical students regarding artificial intelligence in radiology and medicine
Our study highlights a noticeable gap in the understanding of AI among medical students in Thailand and its practical applications in healthcare. However, the overwhelming consensus among these students is their readiness to embrace the incorporation of AI training into their medical education. This enthusiasm holds the promise of enhancing AI adoption, ultimately leading to an improvement in the standard of healthcare services in Thailand, aligning with the country's healthcare vision.
Authors
- Chaisiri Angkurawaranon (ORCID: https://orcid.org/0000-0003-4206-9164)
- Salita Angkurawaranon (ORCID: https://orcid.org/0000-0001-6211-5717)
- Nakarin Inmutto (ORCID: https://orcid.org/0000-0002-5667-9986)
- Phattanun Thabarsa (ORCID: https://orcid.org/0009-0002-0193-9485)
- Kittipitch Bannangkoon
- Surapat Wonghan
- Thanawat Kham-ai
- Porched Khumma
- Kanvijit Daengpisut
Institutions
- Prince of Songkla University (TH)
- Chiang Mai University (TH)
Publication Details
- Journal
- BMC Medical Education
- Published
- 2024-10-22
- DOI
- https://doi.org/10.1186/s12909-024-06150-2
- Citations
- 8
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.96
Funders
- Chiang Mai University