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Reliable AI Platform for Monitoring BCI Caused Brain Injury and Providing Real-Time Protection.

Chufan He1, Yanjun Ding2, Timon Rabczuk3

  • 1School of Mechanics and Engineering Science, Peking University, Beijing, 100871, China.

Advanced Science (Weinheim, Baden-Wurttemberg, Germany)
|December 24, 2025
PubMed
Summary
This summary is machine-generated.

A new AI platform, BrainGuard, uses Gaussian process emulators to monitor brain injury from invasive brain-computer interfaces (BCIs). It provides real-time, patient-specific monitoring, enhancing safety and device longevity for BCI users.

Keywords:
AI platform for Real‐time monitoring and protectionGaussian process regressionbrain computer interfacebrain injurydigital brain twin

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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Artificial Intelligence

Background:

  • Invasive brain-computer interfaces (BCIs) offer functional restoration but cause neuroinflammation and tissue degeneration.
  • Current brain injury assessments lack efficiency and interpretability for high-risk BCI patients.
  • Limited biomechanics data hinders AI model training for BCI-related injuries.

Purpose of the Study:

  • To develop an interpretable AI platform for real-time monitoring of BCI-induced brain injury.
  • To address challenges of limited biomechanics data and noise in AI modeling.
  • To enhance patient safety and long-term stability of BCI devices.

Main Methods:

  • Feature-based Gaussian process emulators for interpretable, data-driven modeling with limited biomechanics data.
  • Development of the BrainGuard AI platform for quantitative, patient-specific BCI injury assessment.
  • Real-time monitoring of full-field von Mises strain to detect brain injury.

Main Results:

  • BrainGuard accurately predicts and monitors BCI-induced brain injury, even under noisy conditions.
  • The platform demonstrates exceptional performance in assessing full-field von Mises strain.
  • Interpretable digital brain twins were constructed for reliable digital healthcare solutions.

Conclusions:

  • BrainGuard offers a reliable and efficient AI solution for real-time monitoring of BCI-related brain injury.
  • The platform enhances patient protection and improves the durability of long-term BCI applications.
  • Interpretable digital twins provide a foundation for secure and effective BCI-based healthcare strategies.