Before choosing a model, define the decision.
A practical sequence is:
Decision → User → Timing → Information gap → Data → AI capability → Action
This helps prevent building technically impressive systems that do not solve a real problem.
For agentic AI, the same principle applies. Define the outcome and workflow before deciding which tasks the agent should automate.
The best starting point for healthcare AI is often not the dataset.
It is the decision that matters.
I am open to remote roles globally.
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