Semantic-Topological Graph Reasoning for Language-Guided Pulmonary Screening explores A framework for language-guided pulmonary screening that combines LLMs and vision models with graph reasoning and selective fine-tuning to improve accuracy and stability.. Commercial viability score: 7/10 in Medical AI.
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Canonical route: /paper/semantic-topological-graph-reasoning-for-language-guided-pulmonary-screening
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Agent Handoff
Canonical ID semantic-topological-graph-reasoning-for-language-guided-pulmonary-screening | Route /paper/semantic-topological-graph-reasoning-for-language-guided-pulmonary-screening
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/semantic-topological-graph-reasoning-for-language-guided-pulmonary-screeningMCP example
{
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"arguments": {
"arxiv_id": "2604.05620"
}
}source_context
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"paper_ref": "semantic-topological-graph-reasoning-for-language-guided-pulmonary-screening",
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}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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