{"version":"1.0","type":"rich","title":"Tumor Treatment Decision Tree","description":"This interactive decision tree maps tumor treatment protocols, guiding users from a diagnosis through surgical and histopathological branching to specific clinical guidelines for conditions like medulloblastoma, ependymoma, and gliomas. The visualization uses a hierarchical layout via `d3.tree()` in D3 v5, rendering nodes as colored SVG rectangles with text labels, linked by red horizontal paths generated with `linkHorizontal()`. Pan and zoom controls are enabled through the `d3.zoom()` API, while the underlying JSON data structures the decision pathways.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/f02ec210751845aba380cab97cf588b7?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}