MARCH: Multi-Agent CT Report Generator
💡Multi-agent hierarchy beats SOTA in CT reports—emulate clinical teams for reliable med AI
⚡ 30-Second TL;DR
What Changed
Emulates radiology hierarchy with Resident, Fellow, and Attending agents
Why It Matters
This framework boosts AI reliability in high-stakes medical imaging by mimicking human workflows, potentially accelerating clinical adoption of automated reporting tools.
What To Do Next
Download the MARCH paper from arXiv:2604.16175 and prototype its multi-agent setup for your VLM radiology pipeline.
Key Points
- •Emulates radiology hierarchy with Resident, Fellow, and Attending agents
- •Uses multi-scale CT feature extraction and retrieval-augmented revisions
- •Achieves superior performance on RadGenome-ChestCT dataset
- •Reduces clinical hallucinations via iterative consensus discourse
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Original source: ArXiv AI ↗
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