MedPAO-Assist: edge-deployable agentic system for structured radiology reports using a 0.6B SLM
The arXiv v1 paper presents MedPAO-Assist, an agentic, edge-deployable framework that converts radiologist dictation and voice commands into structured reports for four modalities (Chest X‑ray, Chest CT, Abdomen CT, Brain MRI). The pipeline—an Extract‑Ground‑Generate multi-agent design with SNOMED‑CT grounding and a speech-driven human-in-the-loop correction phase—runs entirely offline on a laptop CPU with ≈3.3 GB peak RAM and ≈31 s end-to-end latency, and the authors report per-stage evaluations and hardware profiling to demonstrate feasibility for CPU-only clinical deployment.