Stream-based active learning for surgical AI

PURPOSE: Continuous deployment in surgical AI promises adaptive models that evolve with clinical practice, yet its success critically depends on efficient annotation, balancing limited expert time with the need to identify and label only the most informative data to ensure sustained model improvement. We propose a Stream-based Active Learning pipeline where annotation and retraining extend beyond…