Mapping echocardiogram reports to a structured ontology: a task for statistical machine learning or large language models?

2024-02-21 cardiovascular medicine Title + abstract only

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BackgroundBig data has the potential to revolutionize echocardiography by enabling novel research and rigorous, scalable quality improvement. Text reports are a critical part of such analyses, and ontology is a key strategy for promoting interoperability of heterogeneous data through consistent tagging. Currently, echocardiogram reports include both structured and free text and vary across institutions, hampering attempts to mine text for useful insights. Natural language processing (NLP) can he...

Mapping echocardiogram reports to a structured ontology: a task for statistical machine learning or large language models?

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