most citedAutomated Real-time Assessment of Intracranial Hemorrhage Detection AI Using an Ensembled Monitoring Model (EMM)

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cs.LG2026

Improving Calibration of Black-Box Radiology AI Using Test-Time Augmentation

Nathan Le, Magdalini Paschali, Arogya Koirala +5

Radiology AI systems increasingly inform clinical decisions such as triage, follow-up imaging, and treatment planning. For these decisions to be made safely, model outputs must be…