MedCoRAG: Interpretable Hepatology Diagnosis via Hybrid Evidence Retrieval and Multispecialty Consensus | ScienceToStartup | ScienceToStartup

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References (43)

[1]

ACR Appropriateness Criteria® Staging and Follow-Up of Primary Liver Cancer.

2025Elainea N. Smith, Mustafa R. Bashir et al.

[2]

LINS: A general medical Q&A framework for enhancing the quality and credibility of LLM-generated responses

2025Sheng Wang, Fangyuan Zhao et al.

[3]

GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models

Founder's Pitch

"MedCoRAG offers an interpretable AI framework for hepatic diagnosis using multi-agent collaboration and evidence retrieval."

Medical AI•Score: 3•View PDF ↗

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MedCoRAG: Interpretable Hepatology Diagnosis via Hybrid Evidence Retrieval and Multispecialty Consensus

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References (43)

Founder's Pitch

"MedCoRAG offers an interpretable AI framework for hepatic diagnosis using multi-agent collaboration and evidence retrieval."

Commercial Viability Breakdown

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MedCoRAG: Interpretable Hepatology Diagnosis via Hybrid Evidence Retrieval and Multispecialty Consensus

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References (43)

Founder's Pitch

"MedCoRAG offers an interpretable AI framework for hepatic diagnosis using multi-agent collaboration and evidence retrieval."

Commercial Viability Breakdown

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