Dermatology: Practical and Conceptual


Letter to the Editor | Dermatol Pract Concept. 2025;15(3):5469 1

Artificial Intelligence-Assisted Mnemonics  
in Dermatology 
Mohammed I. AlJasser1,2,3

1 College of Medicine, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia

2 Division of Dermatology, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia

3 King Abdullah International Medical Research Center, Riyadh, Saudi Arabia

Citation: AlJasser MI. Artificial Intelligence-Assisted Mnemonics in Dermatology. Dermatol Pract Concept. 2025;15(3):5469.  
DOI: https://doi.org/10.5826/dpc.1503a5469 

Accepted: April 9, 2025; Published: July 2025

Copyright: ©2025 AlJasser. This is an open-access article distributed under the terms of the Creative Commons Attribution-
NonCommercial License (BY-NC-4.0), https://creativecommons.org/licenses/by-nc/4.0/, which permits unrestricted noncommercial use, 
distribution, and reproduction in any medium, provided the original authors and source are credited.

Funding: None. 

Competing Interests: None.

Authorship: The author have contributed significantly to this publication.

Corresponding Author: Mohammed I. AlJasser MBBS FRCPC, Associate Professor, Division of Dermatology, King Saud bin Abdulaziz 
University for Health Sciences; P.O. Box 3660, Riyadh 11481, Saudi Arabia. Orcid ID: 0000-0003-1759-1057E-mail: jasserm@ksau-hs.edu.
sa, mj_derma@hotmail.com 

Dear Editor,

I read with great interest the excellent article that was 

recently published by Lallas A et al. on a novel approach to 

melanonychia [1]. Reaching a correct diagnosis in cases of 

melanonychia is challenging, which makes such a new prac-

tical approach quite valuable. This can be further facilitated 

by the use of mnemonics to help recall the different steps of 

the approach in a busy clinic.

Artificial intelligence has a promising potential as a tool 

to develop educational mnemonics [2]. I aimed to demon-

strate that potential using ChatGPT. The novel approach to 

melanonychia was used for this purpose. The authors sug-

gested several practical sequential steps to assess melanony-

chia. In order to create a mnemonic that would make those 

steps easier to remember, a conversation was initiated with 

ChatGPT (Supplemental Material, Video S1). First, the PDF 

file of the article was uploaded, then the chatbot was asked 

to analyze the paper. This was followed by requesting the 

creation of a mnemonic. It created a nice mnemonic but did 

not go through the same sequence that is mentioned in the 

paper. When finally asked to create another mnemonic that 

follows the same sequence as in the paper, a nice simple mne-

monic was developed; the mnemonic is “Happy Adults Need 

Free Brown Shoes Regularly Fitted.” It covers all the steps in 

the right order as follows: 1. Hemorrhage first. 2. Age mat-

ters. 3. Number of nails. 4. Free edge matters. 5. Brown or 

Gray? 6. Size matters. 7. Regular or irregular? 8. Follow-up 

or Follow-back. A similar approach can potentially help 

create mnemonics in many different areas of dermatology 

education. 

References

1. Lallas A, Korecka K, Apalla Z, et al. Seven Plus One Steps to 

 Assess Pigmented Nail Bands (Melanonychia Striata Longitudi-

nalis). Dermatol Pract Concept. Oct 1 2023;13(4). DOI:10.5826 

/dpc.1304a204. PMID: 37992383.

2. 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.