L-PRISMA: An Extension of PRISMA in the Era of Generative Artificial Intelligence (GenAI)

📰 ArXiv cs.AI

L-PRISMA extends the PRISMA framework to leverage Generative Artificial Intelligence (GenAI) for automated data extraction and literature screening

advanced Published 23 Mar 2026
Action Steps
  1. Identify areas where GenAI can augment the PRISMA framework
  2. Develop and fine-tune large language models (LLMs) for automated data extraction and literature screening
  3. Integrate GenAI tools into the systematic review workflow
  4. Evaluate and refine the performance of GenAI-augmented PRISMA
Who Needs to Know This

Researchers and data scientists on a team benefit from L-PRISMA as it streamlines the systematic review process, while machine learning engineers and AI researchers can contribute to the development of GenAI tools for evidence synthesis

Key Insight

💡 GenAI can significantly improve the efficiency and scalability of systematic reviews and meta-analyses

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