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A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare
Published on: July 7, 2023
Clinical translation and accessibility of brain-computer interfaces: From technology development to clinical
Hui Sun1, Ru Wang1, Kenji Karako2
1Shanghai Health Development Research Center (Shanghai Medical Information Center), Shanghai, China.
Bioscience Trends
|June 17, 2026
Summary
Brain-computer interface (BCI) technology shows promise but faces slow clinical translation. The main challenge is building infrastructure for safe, effective, and accessible BCI integration into healthcare.
Area of Science:
- Neuroscience and artificial intelligence
- Biomedical engineering and clinical translation
Background:
- Brain-computer interface (BCI) technology creates direct links between brain activity and external devices.
- Rapid advancements in AI, neuroscience, and system design have propelled BCIs from prototypes to potential clinical tools.
Purpose of the Study:
- To review BCI technological pathways and clinical applications.
- To examine BCI development challenges from clinical translation and accessibility perspectives.
Main Methods:
- Literature review of BCI technological advancements.
- Analysis of barriers in the BCI translational chain.
Main Results:
- BCI technology is advancing rapidly, but clinical integration lags behind innovation.
- Key barriers include long-term stability, evidence quality, evaluation standards, reimbursement, and real-world implementation feasibility.
Conclusions:
- The primary challenge for BCIs has shifted from technical improvement to developing the necessary infrastructure for clinical integration.
- Ensuring safe, effective, affordable, and sustainable BCI use in healthcare requires addressing translational and accessibility hurdles.
