MDIA: A Multi-Agent Diagnostic Intelligence Pipeline on HealthBench Professional
The article discusses the MDIA, a Multi-Agent Diagnostic Intelligence Pipeline designed for clinical reasoning. It highlights the performance improvements achieved through architectural design rather than just prompt engineering. The findings suggest that the choice of grading model can significantly impact evaluation results.
- ▪MDIA is implemented as a 7-node specialty-routed clinical reasoning graph on the HealthBench Professional benchmark.
- ▪It achieved a score of 0.6272, outperforming OpenAI's ChatGPT for Clinicians by 3.72 percentage points.
- ▪The performance improvements are attributed to system architecture features such as specialty routing and multi-turn context preservation.
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Computer Science > Artificial Intelligence arXiv:2605.24699 (cs) [Submitted on 23 May 2026] Title:MDIA: A Multi-Agent Diagnostic Intelligence Pipeline on HealthBench Professional Authors:Roberto Cruz, David Rey-Blanco View a PDF of the paper titled MDIA: A Multi-Agent Diagnostic Intelligence Pipeline on HealthBench Professional, by Roberto Cruz and David Rey-Blanco View PDF HTML (experimental) Abstract:Most reported gains on agentic-LLM clinical benchmarks are often attributed to prompt engineering, yet our results suggest that larger improvements can come from architectural and engine-level design.
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