UroBot's development reflects a significant advancement in personalized oncology, enabling urologists to access precise, up-to-date answers tailored to current medical guidelines.
The UroBot demonstrated a remarkable accuracy of 88.4% in answering specialist questions, surpassing both other large language models and experienced urologists.
With the increase in complexity of urological guidelines, having a detailed second-opinion system like UroBot aids doctors in making evidence-based decisions.
UroBot's ability to provide explainable answers was achieved through a retrieval-augmented generation method, enhancing the clinical utility of language models in medicine.
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