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Automated evidence synthesis (AES) is the application of artificial intelligence and machine learning to systematically aggregate, evaluate, and integrate findings from multiple research sources. By automating complex data extraction and summarization, AES transforms fragmented studies into a unified body of evidence. This technology facilitates "living" reviews and rapid decision-making, ensuring that clinical and policy guidelines reflect the most current scientific data.

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Automated evidence synthesis, Pienomial

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  • March 17, 2026 6:48 pm local time

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