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@@ -10,7 +10,7 @@ We’re excited to share the release of a significant new innovation in Neurosyn
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Traditionally, reviewing studies for inclusion in a meta-analysis takes hundreds of hours, even with a user-friendly interface. The original Neurosynth platform helped by using text mining to group studies by keywords, but extracting crucial details—like participant demographics or task design—remained a challenge because such information is inconsistently reported.
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With Large Language Models (LLMs) and zero-shot learning, we can now automatically extract structured study information directly from full-text articles. This makes **precise, automated neuroimaging meta-analysis** a reality.
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With Large Language Models (LLMs) and zero-shot learning, we can now automatically extract structured study information directly from full-text articles. This a key step towards **precise, automated neuroimaging meta-analysis**.
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## **LLMs for Neuroscientific Information Extraction**
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