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An open-source fine-tuned large language model for radiological impression generation: a multi-reader performance study
22
Zitationen
10
Autoren
2024
Jahr
Abstract
An open-source fine-tuned LLM can generate impressions to a satisfactory level of clinical accuracy, grammatical accuracy, and stylistic quality. Our reader performance study demonstrates the potential of large language models in drafting radiology report impressions that can aid in streamlining radiologists' workflows.
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