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Related Experiment Video

Updated: May 31, 2026

High-definition Transcranial Direct Current Stimulation over Right Dorsolateral Prefrontal Cortex to Enhance Metacognitive Sensitivity
06:11

High-definition Transcranial Direct Current Stimulation over Right Dorsolateral Prefrontal Cortex to Enhance Metacognitive Sensitivity

Published on: September 26, 2025

SmartEBM AI Agent: A Web-based Platform for Streamlining Network Meta-Analysis via Human-AI Collaboration.

Jiayi Liu, Honghao Lai, Weilong Zhao

    Complementary Medicine Research
    |May 28, 2026
    PubMed
    Summary
    This summary is machine-generated.

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    SmartEBM streamlines network meta-analysis (NMA) using a human-AI collaborative platform. This tool enhances evidence synthesis efficiency and accessibility for researchers conducting complex reviews.

    Area of Science:

    • Evidence synthesis
    • Comparative effectiveness research
    • Health informatics

    Background:

    • Network meta-analysis (NMA) is crucial for comparative effectiveness research, especially in fields like complementary medicine.
    • Traditional NMA workflows are labor-intensive and methodologically complex.
    • Large language models offer potential for evidence synthesis but face challenges in transparency and integration.

    Purpose of the Study:

    • To introduce SmartEBM, a web-based platform designed for human-AI collaboration in NMA.
    • To support the entire NMA workflow, from screening to evidence assessment.
    • To improve the efficiency, manageability, and accessibility of NMA.

    Main Methods:

    • SmartEBM integrates AI-assisted functions with human oversight in a human-in-the-loop model.

    Related Experiment Videos

    Last Updated: May 31, 2026

    High-definition Transcranial Direct Current Stimulation over Right Dorsolateral Prefrontal Cortex to Enhance Metacognitive Sensitivity
    06:11

    High-definition Transcranial Direct Current Stimulation over Right Dorsolateral Prefrontal Cortex to Enhance Metacognitive Sensitivity

    Published on: September 26, 2025

  • The platform features six modules for screening, data extraction, risk of bias, statistical analysis, and certainty of evidence assessment.
  • It offers low-code interfaces, structured outputs, and verification-oriented workspaces for end-to-end NMA support.

    • Main Results:

    • SmartEBM provides a unified environment for all stages of NMA.
    • The platform facilitates AI-assisted tasks while maintaining researcher control over critical judgments.
    • It aims to make complex evidence synthesis more manageable and traceable.

    Conclusions:

    • SmartEBM is a practical platform for end-to-end NMA support, not a fully automated solution.
    • The platform enhances the efficiency and accessibility of NMA, particularly in complex research settings.
    • It represents a significant advancement in applying AI to evidence synthesis for routine research.