How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.
MedRAX: Medical Reasoning Agent for Chest X-ray - ICML 2025
Abstract: Medical image analysis increasingly relies on large vision-language models (VLMs), yet most systems remain single-pass black boxes that offer limited control over reasoning, safety, and spatial grounding. We propose R^4, an agentic framework that decomposes medical imaging workflows…
The code to visualize colon-bench (MICCAI 2026) data and run evaluations of MLLMs on the benchmark.
Classifies lung adenocarcinoma nodules into AIS / MIA / IAC through a four-stage pipeline — nodule detection, sizing, report generation, and multi-agent clinical debate — that mirrors how a real radiology team works.
The main features of imyangc7/lungnoduleagent are: Medical Imaging Agents, Radiology and Imaging Agents.
Projects with overlapping indexed features include: ajhamdi/colon-bench-eval — The code to visualize colon-bench (MICCAI 2026) data and run evaluations of MLLMs on the benchmark. bowang-lab/medrax — MedRAX: Medical Reasoning Agent for Chest X-ray - ICML 2025. cuhk-aim-group/medsam-agent — 🤖 Model | 🤗 Dataset | 📖 Paper. faiyazabdullah/multimodalmedagent — Abstract: Medical image analysis increasingly relies on large vision-language models (VLMs), yet most systems remain… truhnlab/contrastive-agent-reasoning — by Zihao Zhao, Frederik Hauke, Juliana De Castilhos, Sven Nebelung, and Daniel Truhn. voilalab/vi-prism — This repository implements and evaluates a VI-based reconstruction method for dose-reduced perfusion CT in…
