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Performance of large language models for CAD-RADS 2.0 classification derived from cardiac CT reports
6
Zitationen
12
Autoren
2025
Jahr
Abstract
LLMs enhanced with in-context learning are capable of autonomously generating CAD-RADS 2.0 scores for cardiac CT reports with excellent accuracy, potentially enhancing both the efficiency and consistency of cardiac CT reporting. Open-source models not only deliver competitive accuracy but also present the benefit of local hosting, mitigating concerns around data security.
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