An Artifact-based Agent Framework for Adaptive and Reproducible Medical Image Processing

This research presents an artifact-based agent framework to enhance medical image processing, focusing on adaptability and reproducibility. It introduces a semantic layer and an artifact contract to enable structured workflow interrogation and goal-conditioned configuration based on dataset-specific conditions.