This invention describes a computer system that helps radiologists by checking their reports. It uses software to read what a radiologist has written about a patient's medical images, extracts key facts, and then applies a set of rules to those facts. The system specifically evaluates if the radiologist's medical recommendations are consistent with established medical guidelines, and if information is missing, it can even suggest an assumed value.
Why it matters: Filed before the widespread adoption of highly capable large language models, the core natural language understanding and fact extraction from medical narratives could now be significantly more robust and accurate. These advancements could also simplify the implementation of complex decision rules and the automatic selection of assumed values.
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