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  4. Global research trends and hotspots of artificial intelligence research in spinal cord neural injury and restoration—a bibliometrics and visualization analysis

Global research trends and hotspots of artificial intelligence research in spinal cord neural injury and restoration—a bibliometrics and visualization analysis

Frontiers in Neurology, 2024 · DOI: 10.3389/fneur.2024.1361235 · Published: April 2, 2024

Spinal Cord InjuryRegenerative MedicineBioinformatics

Simple Explanation

This study explores the use of Artificial Intelligence (AI) in treating spinal cord injuries, focusing on how AI can help with nerve repair and recovery. The research identifies key trends and important areas of focus (hotspots) in AI research related to spinal cord injuries, aiming to understand where progress is being made and where further research is needed. The study uses special computer programs to analyze existing research papers and visually represent the information, making it easier to understand the development and current focus of AI in spinal cord injury treatment.

Study Duration
2004-2024
Participants
Not specified
Evidence Level
Systematic Review

Key Findings

  • 1
    The United States leads in the number of published articles on AI research in spinal cord neural injury and restoration.
  • 2
    Three main research areas were identified: intelligent robots and exoskeletons for rehabilitation, brain-computer interfaces, and neuromodulation with electrical stimulation.
  • 3
    New research hotspots include image segmentation models based on convolutional neural networks, AI in fabricating polymeric biomaterials for neural stem cells, and AI survival prediction tools in genetics.

Research Summary

This study investigates global research trends and hotspots in AI applications for spinal cord neural injury and restoration using bibliometric and visualization analysis. Key findings highlight the United States as the leading country in publications, Kadone, Hideki as the most prolific author, and ARCH PHYS MED REHAB as the most cited journal. The research identifies three main research hotspots: intelligent robots and limb exoskeletons, brain-computer interfaces, and neuromodulation and noninvasive electrical stimulation.

Practical Implications

Rehabilitation Robotics Development

The findings support the continued development of AI-driven rehabilitation robots and exoskeletons for improved patient outcomes.

Brain-Computer Interface Advancement

The research encourages further exploration of brain-computer interfaces to restore limb function and improve the quality of life for patients with spinal cord injuries.

Neuromodulation Strategies

The insights suggest further investigation into neuromodulation and noninvasive electrical stimulation techniques for nerve regeneration and functional recovery.

Study Limitations

  • 1
    The study only searched the WOS core database, potentially missing relevant articles from other databases.
  • 2
    The length constraints prevented a full presentation of specific research methodologies in the selected literature.
  • 3
    Data and ethical issues.

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