Designing Personalized Multimodal Mnemonics With AI: A Medical Student’s Implementation Tutorial
This tutorial offers medical students a practical framework for creating personalized learning tools using artificial intelligence. By following the detailed prompt engineering process and quality control measures, students can efficiently generate customized mnemonics while avoiding common pitfalls. The approach emphasizes human oversight and iterative refinement to ensure medical accuracy and educational value. The elimination of the need for developing separate databases of mnemonics streamlines the learning process.
Authors
- Ovidiu Constantin Baltatu (ORCID: https://orcid.org/0000-0001-9732-6039)
- Luciana Aparecida Campos (ORCID: https://orcid.org/0000-0002-8162-1022)
- Noor Elabd
- Zafirah Muhammad Rahman
- Salma Ibrahim Abu Alinnin
- Samiyah Jahan
Institutions
- Alfaisal University (SA)
- Anhembi Morumbi University (BR)
Publication Details
- Journal
- JMIR Medical Education
- Published
- 2025-05-08
- DOI
- https://doi.org/10.2196/67926
- Citations
- 4
- Primary Topic
- Clinical Reasoning and Diagnostic Skills
- Type
- article
- Field-Weighted Citation Impact
- 6.06