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Robot-Assisted Transcranial Magnetic Stimulation (Robo-TMS): A Review.

Wenzhi Bai, Andrew Weightman, Rory J O'Connor

    IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society
    |July 4, 2025
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    Summary
    This summary is machine-generated.

    Robot-assisted transcranial magnetic stimulation (TMS) offers enhanced precision for brain stimulation. However, challenges in clinical applicability, cost, and complexity currently limit its widespread adoption, though emerging technologies show promise.

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    Area of Science:

    • Biomedical Engineering
    • Neuroscience
    • Robotics

    Background:

    • Transcranial magnetic stimulation (TMS) is a non-invasive brain stimulation technique used in clinical treatments and research.
    • Precise and prolonged TMS application faces significant challenges, hindering its efficacy and widespread use.
    • Robot-assisted TMS (Robo-TMS) integrates robotics with TMS to improve precision and streamline procedures.

    Purpose of the Study:

    • To provide a comprehensive engineering-focused review of robot-assisted TMS (Robo-TMS).
    • To examine key aspects of Robo-TMS: hardware, calibration, neuronavigation, and control systems.
    • To identify current limitations and propose future research directions for Robo-TMS.

    Main Methods:

    • Systematic review of state-of-the-art technologies in Robo-TMS hardware and integration.
    • Analysis of calibration and registration techniques for accurate targeting.
    • Evaluation of neuronavigation systems and control strategies in Robo-TMS.
    • Identification of limitations and future research avenues.

    Main Results:

    • Robo-TMS shows potential for enhanced efficacy and procedural streamlining in brain stimulation.
    • Current limitations include unverified clinical applicability, operational complexity, and high implementation costs.
    • Emerging technologies like marker-less tracking and advanced E-field modeling offer solutions.

    Conclusions:

    • Broader clinical adoption of Robo-TMS is hindered by practical and economic factors.
    • Advancements in marker-less tracking, non-rigid registration, and AI-driven modeling are crucial.
    • Future research should focus on addressing clinical applicability, cost-effectiveness, and operational simplicity for Robo-TMS.