Introduction: Leveraging AI to tackle rare hematologic diseases Rare diseases pose substantial diagnostic challenges due to their low prevalence, diverse presentations, and often multisystem involvement. This study investigates how large language models (LLMs), especially new-generation transformers with chain-of-thought (CoT) capabilities, perform in diagnosing rare hematologic diseases and how their outputs shape physician decision-making in real-world…