  In healthcare, AI techniques are widely used for tasks like risk assessment
and anomaly detection. Despite AI's potential as a valuable assistant, its role
in complex medical data analysis often oversimplifies human-AI collaboration
dynamics. To address this, we collaborated with a local hospital, engaging six
physicians and one data scientist in a formative study. From this
collaboration, we propose a framework integrating two-phase interactive
visualization systems: one for Human-Led, AI-Assisted Retrospective Analysis
and another for AI-Mediated, Human-Reviewed Iterative Modeling. This framework
aims to enhance understanding and discussion around effective human-AI
collaboration in healthcare.
