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Effective Engagement With AI Is the Only Path Forward for Clinician-Educators.

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    Generative artificial intelligence (GAI) offers significant opportunities for medical education. Clinician-educators should proactively engage with these rapidly advancing technologies to adapt learning and practice environments.

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    Area of Science:

    • Medical Education
    • Artificial Intelligence
    • Cognitive Science

    Background:

    • Generative artificial intelligence (GAI) presents transformative opportunities and challenges for medical education.
    • Rapid advancements in GAI, particularly reasoning models, exceed the adaptive capacities of traditional medical institutions.
    • The integration of GAI necessitates a shift in both clinical practice and learning paradigms.

    Purpose of the Study:

    • To address the urgent need for medical educators to engage with generative artificial intelligence.
    • To provide practical strategies for clinician-educators to adopt and integrate GAI into medical education.
    • To foster proactive engagement with GAI among learners, patients, and educational communities.

    Main Methods:

    • This commentary proposes a proactive approach for clinician-educators.
    • It emphasizes early adoption and active engagement with GAI technologies.
    • Strategies for integrating GAI into educational practices are discussed.

    Main Results:

    • GAI's cognitive capabilities offer unprecedented opportunities for medical education.
    • The pace of GAI development outstrips institutional adaptation.
    • Individual clinician-educators are urged to become early adopters.

    Conclusions:

    • Clinician-educators must actively engage with GAI to navigate its impact on medical education.
    • Proactive adoption and integration of GAI are essential for future medical learning and practice.
    • Collaboration with learners, patients, and communities is key to successful GAI integration.