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Related Experiment Video

Updated: May 9, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Rising Influence of Artificial Intelligence: Trends in Large Language Model Usage in Dermatology Residency Personal

Priya Patel Housley, Valeria Fadhel-Hernandez, Marjorie Montanez-Wiscovich

    Journal of Drugs in Dermatology : JDD
    |May 6, 2025
    PubMed
    Summary

    Artificial intelligence (AI) use in dermatology residency personal statements significantly increased in 2024. This trend highlights growing reliance on large language models for application materials.

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    Area of Science:

    • Medical education
    • Artificial intelligence
    • Dermatology

    Background:

    • The 2024 dermatology residency application cycle saw the public release of ChatGPT, an advanced language model.
    • Applicants can now utilize AI for generating or enhancing personal statements.

    Purpose of the Study:

    • To examine trends in AI-generated content within dermatology residency applications from 2022 to 2024.
    • To assess the implications of AI usage for program directors.

    Main Methods:

    • Analysis of 1500 deidentified personal statements and control essays.
    • Utilized AI detection tools: Quillbot, Scribbr, and ZeroGPT.
    • Statistical analysis including ANOVA, Kruskal-Wallis, and MANOVA.

    Main Results:

    • A significant increase in AI-generated content was observed in the 2024 application cycle compared to 2022 and 2023.
    • Year-specific differences in AI detection scores were statistically confirmed (Wilks' Lambda, P<0.0001).

    Conclusions:

    • Dermatology residency applications show an increasing reliance on AI tools for personal statements.
    • Future research should investigate stakeholder perspectives to guide AI usage regulations in applications.