Development of an AI-Powered Tool to Accelerate and Enhance Systematic Literature Reviews for Evidence-Based Decision-Making in Clinical Research
Accelerating Systematic Literature Reviews with an AI-Powered Screening Tool At ISPOR Europe 2025, Paul Loustalot from Quinten Health presented a new AI-powered tool designed to accelerate and enhance systematic literature reviews (SLRs) by semi-automating title and abstract screening. The tool enhances efficiency while preserving the scientific rigor required in evidence-based clinical research. Paul Loustalot presenting […]
Development of an AI-Powered Tool to Accelerate and Enhance Systematic Literature Reviews for Evidence-Based Decision Making in Clinical Research
Event: ISPOR Europe 2025, Glasgow, Scotland, UK Authors: Paul Loustalot, Boris Kopin, Sacha Levy, Basile Ferry, Vincent Martenot View Poster OBJECTIVES Systematic literature reviews (SLRs) are foundational for evidence-based decisions-making across the pharmaceutical and medical devices product lifecycle, from early research and development to market launch, and post-market activities. Conventional SLRs are often time- and resource-intensive, […]
A text-to-tabular approach to generate synthetic patient data using LLMs
Publisher: IEEE XploreAuthors: Margaux Tornqvist, Jean-Daniel Zucker, Tristan Fauvel, Nicolas Lambert, Mathilde Berthelot, Antoine Movschin View publication Abstract Access to large-scale high-quality healthcare databases is key to accelerate medical research and make insightful discoveries about diseases. However, access to such data is often limited by patient privacy concerns, data sharing restrictions and high costs. To […]
