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BioSignal Copilot: Leveraging the power of LLMs in drafting reports for biomedical signals

2023-07-06

Abstract excerpt

Recent advances in Large Language Models (LLMs) have shown great potential in various domains, particularly in processing text-based data. However, their applicability to biomedical time-series signals (e.g. electrograms) remains largely unexplored due to the lack of a signal-to-text (sequence) engine to harness the power of LLMs. The application of biosignals has been growing due to the improvements in the reliab...

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Identifiers and source

Literature Corpus work
7f437334-c041-59dd-b51b-bd0e09eef514
DOI
10.1101/2023.06.28.23291916
Open publication

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BioSignal Copilot: Leveraging the power of LLMs in drafting reports for biomedical signalsDOI 10.1101/2023.06.28.23291916
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