Accelerating Medical Research with AI
Using LLMs to integrate preprints into systematic reviews
AutoConfidence is an AI framework that evaluates preprint quality for systematic reviews, expanding the evidence base while maintaining scientific rigor.
- Automates quality assessment of preprints without waiting for peer review
- Uses LLMs to extract and analyze preprint data with reduced manual effort
- Enables more timely and comprehensive evidence synthesis
- Addresses the tension between research timeliness and quality assurance
This innovation matters for medicine by accelerating access to cutting-edge research while maintaining evidence quality standards—critical for time-sensitive medical decisions and rapidly evolving fields.