MARCH: Multi-Agent Radiology Clinical Hierarchy for CT Report Generation explores A multi-agent AI framework that mimics radiology department hierarchy to generate more accurate and reliable CT reports, reducing clinical hallucinations.. Commercial viability score: 7/10 in Medical AI.
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This route is the stable paper-level surface for citations, viability, references, and downstream handoffs. Use it as the proof layer behind Signal Canvas, workspace creation, and launch-pack generation.
Page Freshness
Canonical route: /paper/march-multi-agent-radiology-clinical-hierarchy-for-ct-report-generation
Page-specific freshness sourced from this paper's evidence receipt and score bundle.
Agent Handoff
Canonical ID march-multi-agent-radiology-clinical-hierarchy-for-ct-report-generation | Route /paper/march-multi-agent-radiology-clinical-hierarchy-for-ct-report-generation
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/march-multi-agent-radiology-clinical-hierarchy-for-ct-report-generationMCP example
{
"tool": "get_paper",
"arguments": {
"arxiv_id": "2604.16175"
}
}source_context
{
"surface": "paper",
"mode": "paper",
"query": "MARCH: Multi-Agent Radiology Clinical Hierarchy for CT Report Generation",
"normalized_query": "2604.16175",
"route": "/paper/march-multi-agent-radiology-clinical-hierarchy-for-ct-report-generation",
"paper_ref": "march-multi-agent-radiology-clinical-hierarchy-for-ct-report-generation",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Constellation, claims, and market context stay visible on the paper proof page even when commercialization rails are held back for incomplete proof receipts.
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Dimensions overall score 7.0
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