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    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
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    Summary

    Chiropractic interns can now train with an AI patient, using Natural Language Processing (NLP), to practice patient history taking. This AI tool reduces intern stress and improves clinical skills before real patient interaction.

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    Area of Science:

    • Medical Education
    • Artificial Intelligence in Healthcare
    • Natural Language Processing

    Background:

    • Chiropractic interns struggle with patient history taking due to fear of patient irritation.
    • Hesitation in questioning prolongs training and hinders skill development in understanding patient behavior.

    Purpose of the Study:

    • To introduce an AI-based patient simulator for chiropractic intern training.
    • To provide a safe and controlled environment for practicing patient interaction skills.

    Main Methods:

    • Development of an AI patient using Natural Language Processing (NLP).
    • Virtual interaction platform for chiropractic interns to practice patient history taking.

    Main Results:

    • The AI patient allows interns to train without fear of judgment or causing patient irritation.
    • Facilitates virtual, safe, and controlled interaction for skill enhancement.

    Conclusions:

    • AI patient simulation enhances chiropractic intern training efficiency and clinical confidence.
    • The technology has potential applications for other healthcare professionals needing patient interaction skills.