What Healthcare AI Projects Should Actually Show

Many ML projects focus on models.

But healthcare AI requires more.

Common Approach
dataset → model → metrics
Better Approach
problem → decision → system
What to Include
real-world context
decision pathways
usability considerations
Example

Instead of:
“Predictive model for disease”

Use:
“Decision-support system for early intervention”

Key Insight

Projects should demonstrate real-world applicability—not just technical skill.

I am open to remote roles globally.