Researchers have developed a large language model called ClinicalGPT-R1 for disease diagnosis. The model is trained on real-world clinical records and uses diverse training strategies to improve diagnostic reasoning. It outperforms GPT-4o in Chinese tasks and matches its performance in English settings. The study benchmarks the model's performance using a challenging dataset, MedBench-Hard, which covers seven medical specialties and various diseases. --- Why it matters: This matters because it shows that large language models can be applied to clinical diagnosis with improved reasoning capabilities, potentially leading to better patient outcomes. This could also pave the way for more accurate and efficient disease diagnosis in the future. Source: https://arxiv.org/abs/2504.09421