Clinician Performance in Training Data Curation for an Arrhythmia Machine Learning Model: Is Anyone Qualified?

2026-01-08 cardiovascular medicine Title + abstract only

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BackgroundEarly identification of arrhythmias in the intensive care unit (ICU) is important to prevent ICU morbidity and mortality. Timely arrhythmia detection relies on bedside providers telemetry interpretation. Machine learning (ML) models can function as clinical support tools to facilitate diagnoses. ML model development requires well-curated training data. The differential performance between labelers of different roles and experience is currently unknown. MethodsThis was a prospective ob...

Clinician Performance in Training Data Curation for an Arrhythmia Machine Learning Model: Is Anyone Qualified?

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