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cs.AI2026
Graph-Aware Late Chunking for Retrieval-Augmented Generation in Biomedical Literature
Pouria Mortezaagha, Arya Rahgozar
Retrieval-Augmented Generation (RAG) systems for biomedical literature are typically evaluated using ranking metrics like Mean Reciprocal Rank (MRR), which measure how well the sys…
cs.AI2026
AI Co-Scientist for Knowledge Synthesis in Medical Contexts: A Proof of Concept
Arya Rahgozar, Pouria Mortezaagha
Research waste in biomedical science is driven by redundant studies, incomplete reporting, and the limited scalability of traditional evidence synthesis workflows. We present an AI…
cs.AI2025★ 1 cited
An AI-Driven Live Systematic Reviews in the Brain-Heart Interconnectome: Minimizing Research Waste and Advancing Evidence Synthesis
Arya Rahgozar, Pouria Mortezaagha, Jodi Edwards +11
The Brain-Heart Interconnectome (BHI) combines neurology and cardiology but is hindered by inefficiencies in evidence synthesis, poor adherence to quality standards, and research w…