Scientific Literature Reviews And The Potential Of AI For Evidence Synthesis

By Kimberly Ruiz and Malia Gill

The sheer volume and rapid growth of scientific publications present a significant challenge for keeping evidence synthesis current, particularly for time-intensive Systematic Literature Reviews (SLRs). These reviews are vital for evidence-based medicine and HEOR strategy but can take months or years to complete.

Artificial intelligence (AI) is emerging as a promising avenue to accelerate the assessment and updating of scientific literature reviews, potentially offering significant time and cost savings. However, adopting AI in this critical area demands caution. Ensuring the validity of AI tools and understanding their appropriate, expert-guided application—especially in contexts demanding high scientific rigor like HTA submissions—is paramount.

Discover how AI can be judiciously applied to enhance evidence generation. Read the full article for detailed insights.