A three-pass LLM framework (extractor, detector, false-positive verifier) more than doubled PPV and halved estimated review costs for radiology report error detection, while the absolute number of confirmed errors stayed stable.
Environmental sustainability and AI in radiology: A double-edged sword
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A Multi-Pass Large Language Model Framework for Precise and Efficient Radiology Report Error Detection
A three-pass LLM framework (extractor, detector, false-positive verifier) more than doubled PPV and halved estimated review costs for radiology report error detection, while the absolute number of confirmed errors stayed stable.