Analysis of 58,746 NIH-funded projects reveals AI comprises 15.9% of biomedical research portfolio with significant funding premium, but faces deployment gaps

AI/ML adoption accounts for 15.9% of NIH's 2025 biomedical research portfolio with a 13.4% funding premium compared to non-AI projects

Large language models enabled researchers to perform semantic extraction and automated classification across thousands of unstructured research documents at scale

AI research concentrated in discovery, prediction, and data integration applications across multiple disease domains

Study identifies critical gap between AI research development and real-world deployment in healthcare applications