A continuous monitoring system uses similarity metrics and uncertainty estimates to gate new data for incremental retraining of medical image classifiers while enforcing performance safeguards.
The combination of feature- space monitoring and uncertainty gating effectively addresses model degradation due to data drift
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Robust by Design: A Continuous Monitoring and Data Integration Framework for Medical AI
A continuous monitoring system uses similarity metrics and uncertainty estimates to gate new data for incremental retraining of medical image classifiers while enforcing performance safeguards.