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Evaluating prompt and data perturbation sensitivity in large language models for radiology reports classification
3
Zitationen
10
Autoren
2025
Jahr
Abstract
LLMs demonstrated high performance in classifying radiology reports, though results varied with prompt design and data quality. These findings underscore the need for systematic evaluation and validation of LLMs for clinical applications, particularly in high-stakes scenarios.
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