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Our team collected these recordings at the emergency department of the Hsin-Chu Branch at the National Taiwan University Hospital (NTUH). We used the Ca RDIa RT DS101 electronic stethoscope, where each recording is 10 seconds long.
To ensure the accuracy of the annotations, a team of 7 senior physicians meticulously annotated the audio samples. The annotations focused on identifying coarse crackles, wheezes, or normal respiratory sounds.
JMIR AI 2025;4:e67239
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Large Language Model–Based Critical Care Big Data Deployment and Extraction: Descriptive Analysis
JMIR Med Inform 2025;13:e63216
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