Perspective
Clinical AI in oncology workflow: beside decision preparation, not in place of decision authority
Sustainable institutional AI adoption depends less on model power and more on clearly defined clinical boundaries.
In the Zynova approach, AI is positioned in document interpretation, structured summarization, missing critical data visibility, and prioritization layers.
The practical aim is to move physician review time toward higher-value clinical judgment tasks.
Diagnosis, treatment decisions, and final responsibility remain with physicians; the system supports more traceable pre-decision preparation.
Institutional trust therefore comes not from aggressive accuracy claims, but from process transparency, boundary control, and communication consistency.