Tag: large language models
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How Large Language Models Aid Diagnosis of Rare Hematologic Diseases and Influence Physician Decision-Making
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…
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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…