MedRAX: Medical Reasoning Agent for Chest X-ray
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Cited by 28 in LLM agents and tool use, but placed by its own abstract, which didn’t fit.
Abstract (arXiv)
Chest X-rays (CXRs) play an integral role in driving critical decisions in disease management and patient care. While recent innovations have led to specialized models for various CXR interpretation tasks, these solutions often operate in isolation, limiting their practical utility in clinical practice. We present MedRAX, the first versatile AI agent that seamlessly integrates state-of-the-art CXR analysis tools and multimodal large language models into a unified framework. MedRAX dynamically leverages these models to address complex medical queries without requiring additional training. To rigorously evaluate its capabilities, we introduce ChestAgentBench, a comprehensive benchmark containing 2,500 complex medical queries across 7 diverse categories. Our experiments demonstrate that MedRAX achieves state-of-the-art performance compared to both open-source and proprietary models, representing a significant step toward the practical deployment of automated CXR interpretation systems. Data and code have been publicly available at https://github.com/bowang-lab/MedRAX
Key facts. Cited by 68 papers in the map (data through 7 Oct 2026). Builds on 21 of its 39 references that are in the map. First posted on arXiv 4 Feb 2025.
Builds on
21 of 39 references.
References · 21
- 2023SWE-bench: Can Language Models Resolve Real-World GitHub Issues?cited by 3,193
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- 2023LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Daycited by 1,287
- 2023AgentBench: Evaluating LLMs as Agentscited by 1,211
- 2023Capabilities of GPT-4 on Medical Challenge Problemscited by 630
- 2017CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learningcited by 459
- 2021SLAKE: A Semantically-Labeled Knowledge-Enhanced Dataset for Medical Visual Question Answeringcited by 444
- 2024AgentClinic: a multimodal agent benchmark to evaluate AI in simulated clinical environmentscited by 215
- 2024The Landscape of Emerging AI Agent Architectures for Reasoning, Planning, and Tool Calling: A Surveycited by 164
- 2024MDAgents: An Adaptive Collaboration of LLMs for Medical Decision-Makingcited by 162
- 2021TorchXRayVision: A library of chest X-ray datasets and modelscited by 131
- 2024MMedAgent: Learning to Use Medical Tools with Multi-modal Agentcited by 108
9 more
- 2024A Vision-Language Foundation Model to Enhance Efficiency of Chest X-ray Interpretationcited by 79
- 2020On the limits of cross-domain generalization in automated X-ray predictioncited by 61
- 2023Multimodal ChatGPT for Medical Applications: an Experimental Study of GPT-4Vcited by 38
- 2021A Structure-Aware Relation Network for Thoracic Diseases Detection and Segmentationcited by 33
- 2023An In-depth Survey of Large Language Model-based Artificial Intelligence Agentscited by 30
- 2024MMAU: A Holistic Benchmark of Agent Capabilities Across Diverse Domainscited by 18
- 2023Rad-ReStruct: A Novel VQA Benchmark and Method for Structured Radiology Reportingcited by 17
- 2024M4CXR: Exploring Multi-task Potentials of Multi-modal Large Language Models for Chest X-ray Interpretationcited by 16
- 2022An Accurate and Explainable Deep Learning System Improves Interobserver Agreement in the Interpretation of Chest Radiographcited by 7
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Citing papers per year: 2025: 20; 2026: 48.
68 papers.
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- 2025BioReason: Incentivizing Multimodal Biological Reasoning within a DNA-LLM Modelcited by 35
- 2025Medical Reasoning in the Era of LLMs: A Systematic Review of Enhancement Techniques and Applicationscited by 10
- 2025CXRAgent: Director-Orchestrated Multi-Stage Reasoning for Chest X-Ray Interpretationcited by 7
- 2025MTBBench: A Multimodal Sequential Clinical Decision-Making Benchmark in Oncologycited by 6
- 2025AURA: A Multi-Modal Medical Agent for Understanding, Reasoning & Annotationcited by 5
- 2026MEDVISTAGYM: A Scalable Training Environment for Thinking with Medical Images via Tool-Integrated Reinforcement Learningcited by 4
- 2025EndoCogniAgent: Closed-Loop Agentic Reasoning with Self-Consistency Validation for Endoscopic Diagnosiscited by 3
- 2026CXReasonAgent: Evidence-Grounded Diagnostic Reasoning Agent for Chest X-rayscited by 3
- 2026Medical thinking with multiple imagescited by 3
- 2026ClinSeekAgent: Automating Multimodal Evidence Seeking for Agentic Clinical Reasoningcited by 3
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- 2026EVADE: Evidence-Verified Agentic Diagnosis with Escape19 Aug 2026
- 2026Aligning Clinical Needs and AI Capabilities: A Survey on LLMs for Medical Reasoning8 Jul 2026
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- 2026A Survey of Agentic Reasoning for Large Language Models: Towards Recursively Self-Improving and Collective Agents18 Jan 2026
- 2026MEDVISTAGYM: A Scalable Training Environment for Thinking with Medical Images via Tool-Integrated Reinforcement Learning12 Jan 2026
- 2025Benchmark Success, Clinical Failure: When Reinforcement Learning Optimizes for Benchmarks, Not Patients28 Dec 2025
- 2025MTBBench: A Multimodal Sequential Clinical Decision-Making Benchmark in Oncology25 Nov 2025
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- 2026Shifting Adaptation from Weight Space to Memory Space: A Memory-Augmented Agent for Medical Image Segmentation6 Mar 2026
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- 2026Which Tool Response Should I Trust? Tool-Expertise-Aware Chest X-ray Agent with Multimodal Agentic Learning25 Feb 2026
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