Artificial intelligence in nephrology education: a multicenter survey of fellowship trainees at Mayo Clinic
There is significant interest among nephrology fellows in AI, along with a critical need for formal education and training. The enthusiasm for AI's potential contrasts with a cautious perspective towards its current use in clinical decision-making. Our study highlights the necessity for educational initiatives that bridge the knowledge gap and foster confidence in the appropriate use of AI technologies in Nephrology fellowship.
Authors
- Iasmina Craici
- S. Nair (ORCID: https://orcid.org/0000-0001-9688-8216)
- Jing Miao (ORCID: https://orcid.org/0000-0003-0642-9740)
- Mohammad Salman Sheikh (ORCID: https://orcid.org/0009-0006-9388-8505)
- Musab S. Hommos (ORCID: https://orcid.org/0000-0003-2697-4463)
- Fawad Qureshi (ORCID: https://orcid.org/0000-0003-3387-4882)
- Mary M. Prendergast
- KIANOUSH B KASHANI (ORCID: https://orcid.org/0000-0003-2184-3683)
- Michael A. Mao (ORCID: https://orcid.org/0000-0003-1814-7003)
- Wisit Cheungpasitporn
- Charat Thongprayoon
Institutions
- Mayo Clinic (US)
- Jacksonville College (US)
- Mayo Clinic in Arizona (US)
- Mayo Clinic Hospital (US)
- Mayo Clinic in Florida (US)
Publication Details
- Journal
- Frontiers in Nephrology
- Published
- 2025-06-18
- DOI
- https://doi.org/10.3389/fneph.2025.1607017
- Citations
- 4
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 2.62