From Image Interpretation to Clinical Reasoning: Upstream Physician-Context-Aware Multimodal Learning with Causal Reinforcement Learning
cs.CV
Submitted: 2026-09-30
Updated: 2026-09-30
Code: https://github.com/OrchidPi/cxr-causal-reinforcement-reasoning
Terminology
Sources
- BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs
- DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
- Reducing Hallucinations of Medical Multimodal Large Language Models with Visual Retrieval-Augmented Generation
- Uncovering Knowledge Gaps in Radiology Report Generation Models through Knowledge Graphs
- ReMax: A Simple, Effective, and Efficient Reinforcement Learning Method for Aligning Large Language Models
- Code as Reward: Empowering Reinforcement Learning with VLMs
- CheXpert Plus: Augmenting a Large Chest X-ray Dataset with Text Radiology Reports, Patient Demographics and Additional Image Formats
- MedGemma Technical Report
- Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning
- Qwen3 Technical Report
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