Tag: CoT reasoning
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AI in Rare Hematologic Diagnosis: How Large Language Models Perform and Shape Physician Decision-Making
Overview Advances in large language models (LLMs) are reshaping how clinicians approach rare hematologic diseases. A combined retrospective and prospective study from a Chinese medical center evaluated the diagnostic performance of seven publicly available LLMs—some with chain-of-thought (CoT) capabilities—using deidentified admission records. The study also tested whether presenting the models’ outputs to physicians could improve…