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    עמוד בית
    Tue, 15.07.25

    ORIGINAL ARTICLES

    IMAJ | volume 27

    Journal 6, June 2025
    pages: 367-371

    Exploring the Potential of ChatGPT in Identifying Drug–Drug Interactions in Dermatology

    1 Maccabi Healthcare Services, Tel Aviv-Yafo, Israel 2 Department of Family Medicine, Faculty of Health Sciences, Ben Gurion University of the Negev, Beer Sheva, Israel 3 Adelson School of Medicine, Ariel University, Ariel, Israel 4 Assuta Medical Center, Tel Aviv, Israel 5 Department of Dermatology, Hadassah Medical Center, Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel

    Full article (PDF)

    Summary

    Background:

    Identifying drug–drug interactions (DDIs) in dermatology can be cumbersome and time-consuming using traditional methods.

    Objectives:

    To explore the potential of ChatGPT-4o, an artificial intelligence (AI)-based chatbot, to streamline the identification process.

    Methods:

    ChatGPT-4o was tasked with assessing DDIs among commonly prescribed dermatological medications. The accuracy and reliability of the chatbot's outputs were compared against established references for 43 interactions.

    Results:

    ChatGPT-4o successfully identified all evaluated interactions. It accurately described the interaction effects in 42 cases, with only one example of misdescription.

    Conclusions:

    The findings highlight the potential of ChatGPT to serve as an effective and efficient alternative for identifying and understanding DDIs in dermatology, despite one noted error that emphasizes the need for ongoing verification against trusted references. Further research is needed to validate its use across a broader range of medications and clinical scenarios.

    Full article (PDF)
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