Large Language Models in Biochemistry Education: Comparative Evaluation of Performance
Our study suggests that different AI models may have unique strengths in specific medical fields, which could be leveraged for targeted support in biochemistry courses. This performance highlights the potential of AI in medical education and assessment.
Authors
- Olena Bolgova (ORCID: https://orcid.org/0009-0002-9496-9754)
- Inna Shypilova
- Volodymyr Mavrych (ORCID: https://orcid.org/0009-0009-1159-4573)
Institutions
- University College of the Cayman Islands (KY)
- Alfaisal University (SA)
- St. Matthew's University (KY)
- Truman Bodden Law School (KY)
Publication Details
- Journal
- JMIR Medical Education
- Published
- 2025-03-08
- DOI
- https://doi.org/10.2196/67244
- Citations
- 12
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 7.85