Healthcare data is highly contextual.
The same measurement can have different meanings depending on patient history, medications, treatment, environment, and clinical circumstances.
A useful healthcare AI system therefore needs more than pattern recognition.
Digital health can provide longitudinal and contextual information. AI can identify relationships and estimate risk. Agentic AI can support information gathering and workflow coordination within defined boundaries.
But clinical expertise remains essential for interpreting what the information means.
The goal is not simply to detect more signals.
It is to understand which signals matter.
I am open to remote roles globally.
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