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Training Smarter, Not Bigger: How Reinforcement Learning Fixes LLM Reasoning in Radiology
A two-stage training approach using supervised fine-tuning and reinforcement learning allows small language models to match GPT-4o’s accuracy for lung disease classification, while preserving clinical reasoning. Original paper: Reinforcement learning improves LLM accuracy and reasoning in disease classification from radiology reports. — NPJ digital medicine. 10.1038/s41746-026-02685-4 📄 Read the article
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By MedAI DigestA two-stage training approach using supervised fine-tuning and reinforcement learning allows small language models to match GPT-4o’s accuracy for lung disease classification, while preserving clinical reasoning. Original paper: Reinforcement learning improves LLM accuracy and reasoning in disease classification from radiology reports. — NPJ digital medicine. 10.1038/s41746-026-02685-4 📄 Read the article