An AI system combining PICOS compliance detection, study design classification, retrieval-augmented GPT, and topic modeling is proposed to automate living systematic reviews for the Brain-Heart Interconnectome domain.
Research waste from poor reporting of core methods and results and redundancy in studies of reporting guideline adherence: a meta-research review
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An AI-Driven Live Systematic Reviews in the Brain-Heart Interconnectome: Minimizing Research Waste and Advancing Evidence Synthesis
An AI system combining PICOS compliance detection, study design classification, retrieval-augmented GPT, and topic modeling is proposed to automate living systematic reviews for the Brain-Heart Interconnectome domain.