MMedAgent-Plus: Scaling Multimodal Medical Agents across Modalities, Tasks and Workflows
We introduce MMedAgent-Plus, a multimodal medical tool-use agent that combines a vision-language planner with 18 leading specialist models spanning 12 tasks and 8 modalities.
ProofPaper ↗
Key points
- Medical workflows often require multiple interdependent analyses, but existing specialist and generalist AI models are not designed to coordinate them.
- The planner is instruction-tuned on 208,928 samples from 32 public medical benchmarks, covering single- and multi-tool interactions across single and multiple rounds.
- We separately evaluate tool orchestration, response synthesis, and end-to-end execution on held-out samples.
- MMedAgent-Plus achieves tool-call accuracies of 91.0%, 98.1%, and 80.7% in single-tool multi-round, multi-tool multi-round, and multi-tool single-round settings, respectively.
Sources (1)
- [1]MMedAgent-Plus: Scaling Multimodal Medical Agents across Modalities, Tasks and WorkflowsarXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 19, 08:00 PM
We introduce MMedAgent-Plus, a multimodal medical tool-use agent that combines a vision-language planner with 18 leading specialist models spanning 12 tasks and 8 modalities.
Medical workflows often require multiple interdependent analyses, but existing specialist and generalist AI models are not designed to coordinate them.
Extractive summary: sentences quoted from the sources.
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