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Accuracy of Large Language Models in Detecting Cases Requiring Immediate Reporting in Pediatric Radiology: A Feasibility Study Using Publicly Available Clinical Vignettes
4
Zitationen
10
Autoren
2025
Jahr
Abstract
Multimodal LLMs may achieve overall accuracy comparable to or exceeding that of human readers in identifying cases requiring immediate radiology reporting, supporting their potential use for pediatric radiology worklist prioritization. However, the models' sensitivity in detecting such cases was not reliable.
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