Article
Validation of Generative AI Techniques for Synthetic Data Generation in Multiple Sclerosis Research: A Comparison with Real-World Evidence from the Italian MS Registry
2025-11-15
Abstract excerpt
<h4>Importance</h4> Large multiple sclerosis (MS) registries provide crucial real-world evidence but often suffer from missing data, inconsistencies, and privacy limitations that restrict data sharing. The use of generative AI to create synthetic data (SD) is an emerging strategy to enhance real-world evidence research potentially overcoming these challenges. <h4>Objective</h4> To evaluate the validity of AI-gen...
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Identifiers and source
- Literature Corpus work
- 19065620-740b-5bd7-9fa4-0c54590a2289
- DOI
- 10.1101/2025.11.13.25340076
