Abstract
The core claim
The paper argues that the most important use of advanced AI in health is not generic automation. It is high-context reasoning over disease classes where better synthesis can change diagnosis, treatment selection, escalation, or trial matching for a specific patient.
Precision oncology, rare-disease genomics, resistant infection, and sepsis rise to the top because they combine large search spaces with fragmented multimodal data and decisions that are highly sensitive to patient context.