ISSN 2979-8116 (Online) · Online-only · Published Monthly

    Aesthetic Intelligence

    A peer-reviewed journal of aesthetic medicine, published by the Harley Street Institute

    Social preview card for AI-Assisted Medical Education: Implications for Postgraduate Aesthetic Training

    Commentary

    AI-Assisted Medical Education: Implications for Postgraduate Aesthetic Training

    Dr. Ahmed Haq1

    1. 1 Harley Street Institute, London, United Kingdom

    Corresponding author: journal@harleystreetinstitute.com

    Journal: Aesthet Intell

    DOI: to be assigned

    Volume / Issue: 1 / 4

    Pages: 42–51

    Received: 2025-09-01

    Accepted: 2025-10-18

    Published: 2026-05-21

    Licence: CC BY 4.0

    Abstract

    Background.
    Large language models and adaptive learning systems are reshaping postgraduate medical education, including in aesthetic medicine.
    Methods.
    We review current evidence on AI in postgraduate education and reflect on their integration within an accredited aesthetic training pathway.
    Results.
    AI-assisted formative assessment, simulation and case-based learning show promise but require human curation to ensure clinical accuracy.
    Conclusion.
    AI should augment, not replace, supervised clinical learning. Disclosure and pedagogical oversight remain essential.

    Keywords: medical education, artificial intelligence, postgraduate training, aesthetic medicine, adaptive learning

    1. Introduction

    The proliferation of generative AI tools has prompted urgent reflection on how postgraduate aesthetic education should evolve.

    2. Applications in Training

    AI is being deployed for formative quizzing, case-based reasoning, simulation feedback and standardised photo assessment.

    3. Risks

    Hallucination, opaque reasoning and the potential erosion of clinical reasoning skills are credible concerns requiring active mitigation.

    4. Conclusion

    Used with disclosure and curation, AI is a powerful educational adjunct in aesthetic training.

    AI Disclosure

    Large language model assistance was used during manuscript drafting. The named human author retains full responsibility.

    Competing Interests

    The author(s) declare no competing financial or non-financial interests relevant to this work.

    Funding

    This work received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.

    Ethics & Consent

    Where applicable, ethical approval and informed patient consent were obtained in accordance with the Declaration of Helsinki. Reviews and commentaries did not require ethical approval.

    References

    1. Kung TH, Cheatham M, Medenilla A, et al. Performance of ChatGPT on USMLE: Potential for AI-assisted medical education. PLOS Digit Health. 2023;2(2):e0000198.
    2. Han ER, Yeo S, Kim MJ, et al. Medical education trends for future physicians in the era of AI and technology. BMC Med Educ. 2019;19(1):460.
    3. Sallam M. ChatGPT Utility in Healthcare Education, Research, and Practice. Healthcare (Basel). 2023;11(6):887.

    © 2026 Harley Street Institute. Published under the Creative Commons Attribution 4.0 International Licence (CC BY 4.0).

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    Editorial Masthead

    Aesthetic Intelligence

    A peer-reviewed journal of aesthetic medicine, published by the Harley Street Institute

    Publisher
    Harley Street Institute
    8-10 Harley Street, London W1G 9QD, United Kingdom
    Format & Frequency
    Online-only · Published Monthly
    Established 2026
    Editor-in-Chief
    Dr Hena Haq
    Peer Review
    Single-blind external peer review by at least two reviewers for original research and review articles; editorial review for commentary and editorial content.
    Editorial Office
    Editorial Office, Aesthetic Intelligence, Harley Street Institute, 8-10 Harley Street, London W1G 9QD, United Kingdom
    journal@harleystreetinstitute.com
    License
    Articles are published under a Creative Commons Attribution 4.0 International License (CC BY 4.0) unless otherwise stated. Authors retain copyright.
    ISSN (Online)
    ISSN 2979-8116 (Online)The International Standard Serial Number (ISSN) is the official identifier assigned by the ISSN UK Centre at the British Library. It confirms Aesthetic Intelligence is a catalogued, citable serial publication of record, indexed in the global ISSN Register and recognised by libraries, abstracting services and indexers worldwide.
    Indexing
    Applications planned with DOAJ, Crossref, PubMed Central and Scopus during Volume 1 (2026). The journal follows a monthly publication model (one issue per calendar month) with sequential issue numbering within each volume.