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cs.AI2026
Learning, Potential, and Retention: An Approach for Evaluating Adaptive AI-Enabled Medical Devices
Alexis Burgon, Berkman Sahiner, Nicholas A Petrick +2
This work addresses challenges in evaluating adaptive artificial intelligence (AI) models for medical devices, where iterative updates to both models and evaluation datasets compli…
stat.AP2026
Statistical modeling of breast cancer radiomic features and hazard using image registration-aided longitudinal CT data
Subrata Mukherjee, Qian Cao, Thibaud Coroller +3
Patients with metastatic breast cancer (mBC) undergo repeated computed tomography (CT) imaging during treatment to monitor disease progression. Accurate longitudinal tracking of in…