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Radiology Data Annotation

Radiology reports are primarily natural text, often lacking standardization, which presents challenges for machine learning applications. While some hospitals are creating annotated datasets, the process remains labor-intensive and separate from standard radiology workflows. Instead of relying on radiologists to manually mark abnormalities, leveraging existing report data through natural language processing offers a more efficient solution for training AI models.