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
Action Steps
- Identify areas where GenAI can augment the PRISMA framework
- Develop and fine-tune large language models (LLMs) for automated data extraction and literature screening
- Integrate GenAI tools into the systematic review workflow
- 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
Share This
🤖 L-PRISMA: leveraging GenAI for faster, more efficient systematic reviews!
DeepCamp AI