Artificial Intelligence-Assisted Mnemonics in Dermatology

Artificial Intelligence-Assisted Mnemonics in Dermatology

Authors

  • Mohammed AlJasser College of Medicine, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia; Division of Dermatology, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia; King Abdullah International Medical Research Center, Riyadh, Saudi Arabia. https://orcid.org/0000-0003-1759-1057

Keywords:

AI, artificial intelligence, mnemonics, dermatology, residency, education, teaching

References

Lallas A, Korecka K, Apalla Z, et al. Seven Plus One Steps to Assess Pigmented Nail Bands (Melanonychia Striata Longitudinalis). Dermatol Pract Concept. Oct 1 2023;13(4). DOI:10.5826/dpc.1304a204. PMID: 37992383.

Arango-Ibanez JP, Posso-Nuñez JA, Díaz-Solórzano JP, Cruz-Suárez G. Evidence-Based Learning Strategies in Medicine Using AI. JMIR Med Educ. May 24 2024;10:e54507. DOI:10.2196/54507. PMID: 38801706.

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Additional Files

Published

2025-07-31

Issue

Vol. 15 No. 3 (2025): 2025 Vol 15, No 3 | July

Section

Letter to the Editor

License

Copyright (c) 2025 Mohammed AlJasser

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Dermatology Practical & Conceptual applies a Creative Commons Attribution License (CCAL) to all works we publish (http://creativecommons.org/licenses/by-nc/4.0/). Authors retain the copyright for their published work.

How to Cite

1.
AlJasser M. Artificial Intelligence-Assisted Mnemonics in Dermatology. Dermatol Pract Concept. 2025;15(3):5469. doi:10.5826/dpc.1503a5469

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