PromptRad: Knowledge-Enhanced Multi-Label Prompt-Tuning for Low-Resource Radiology Report Labeling
Researchers have developed PromptRad, a new method for labeling radiology reports in low-resource environments. This approach uses prompt-tuning and incorporates medical synonyms from the UMLS Metathesaurus to improve classification accuracy with minimal labeled data. Experiments show PromptRad outperforms traditional methods and even rivals GPT-4's performance on liver CT reports, particularly in handling complex negation patterns. AI
IMPACT Enables more accurate and efficient analysis of medical reports in data-scarce clinical settings.