Bringing analytic rigor to agentic AI for science: The Brain Researcher platform for neuroimaging data analysis
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TL;DR - Brain Researcher is an agentic platform that embeds methodological constraints, evidence tracking, and scientific review into neuroimaging analysis workflows. It aims to make agent-generated findings more defensible by testing alternative analyses and limiting claims to what the evidence supports.
- Improved first-choice tool-selection accuracy across seven models from 23.3% to 93.6%.
- Increased verifiable grounding from 4.6% to 22.0%.
- Uses multiverse analyses to reveal how findings vary with analytic choices.
- Links decisions to evidence and provenance, while classifying claims as accepted, qualified, revised, blocked, rejected, or deferred.
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Bringing analytic rigor to agentic AI for science: The Brain Researcher platform for neuroimaging data analysis
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Semantic Scholar citations 0 · Semantic Scholar influential citations 0
TL;DR - Brain Researcher is an agentic platform that embeds methodological constraints, evidence tracking, and scientific review into neuroimaging analysis workflows. It aims to make agent-generated findings more defensible by testing alternative analyses and limiting claims to what the evidence supports.
- Improved first-choice tool-selection accuracy across seven models from 23.3% to 93.6%.
- Increased verifiable grounding from 4.6% to 22.0%.
- Uses multiverse analyses to reveal how findings vary with analytic choices.
- Links decisions to evidence and provenance, while classifying claims as accepted, qualified, revised, blocked, rejected, or deferred.