MedSAM-Agent: Empowering Interactive Medical Image Segmentation with Multi-turn Agentic Reinforcement Learning

MedSAM-Agent: Empowering Interactive Medical Image Segmentation with Multi-turn Agentic Reinforcement Learning | Signal Canvas | ScienceToStartup

Page Freshness

Signal Canvas proof surface

Canonical route: /signal-canvas/medsam-agent-empowering-interactive-medical-image-segmentation-with-multi-turn-agentic-reinforcement-learning

stale

Proof freshness: stale
Proof status: unverified
Display score: 7/10
Last proof check: 2026-04-02
Score updated: 2026-04-02
Score fresh until: 2026-05-02
References: 0
Source count: 0
Coverage: 17%

This page is showing the last landed evidence receipt and score bundle because the latest proof data is outside the freshness window.

Agent Handoff

Canonical ID medsam-agent-empowering-interactive-medical-image-segmentation-with-multi-turn-agentic-reinforcement-learning | Route /signal-canvas/medsam-agent-empowering-interactive-medical-image-segmentation-with-multi-turn-agentic-reinforcement-learning

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/medsam-agent-empowering-interactive-medical-image-segmentation-with-multi-turn-agentic-reinforcement-learning

MCP example

{
  "tool": "search_signal_canvas",
  "arguments": {
    "mode": "paper",
    "paper_ref": "medsam-agent-empowering-interactive-medical-image-segmentation-with-multi-turn-agentic-reinforcement-learning",
    "query_text": "Summarize MedSAM-Agent: Empowering Interactive Medical Image Segmentation with Multi-turn Agentic Reinforcement Learning"
  }
}

source_context

{
  "surface": "signal_canvas",
  "mode": "paper",
  "query": "MedSAM-Agent: Empowering Interactive Medical Image Segmentation with Multi-turn Agentic Reinforcement Learning",
  "normalized_query": "2602.03320",
  "route": "/signal-canvas/medsam-agent-empowering-interactive-medical-image-segmentation-with-multi-turn-agentic-reinforcement-learning",
  "paper_ref": "medsam-agent-empowering-interactive-medical-image-segmentation-with-multi-turn-agentic-reinforcement-learning",
  "topic_slug": null,
  "benchmark_ref": null,
  "dataset_ref": null
}

Evidence Receipt

Route status: building

Claims: 0

References: Pending verification

Proof: Verification pending

Freshness state: computing

Source paper: MedSAM-Agent: Empowering Interactive Medical Image Segmentation with Multi-turn Agentic Reinforcement Learning

PDF: https://arxiv.org/pdf/2602.03320v1

Source count: Pending verification

Coverage: 17%

Last proof check: 2026-04-02T02:30:40.136Z

Signal Canvas receipt window

Watch and verify: MedSAM-Agent: Empowering Interactive Medical Image Segmentation with Multi-turn Agentic Reinforcement Learning

/buildability/medsam-agent-empowering-interactive-medical-image-segmentation-with-multi-turn-agentic-reinforcement-learning

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Subject: MedSAM-Agent: Empowering Interactive Medical Image Segmentation with Multi-turn Agentic Reinforcement Learning

Verdict

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MedSAM-Agent: Empowering Interactive Medical Image Segmentation with Multi-turn Agentic Reinforcement Learning

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