In Part 1, Sean Shoffstall and Curt Harper showed why most EP research ideas never make it past the whiteboard — and what it looks like when AI removes the bottleneck. In Part 2, they go deeper.
Watch as they walk through the full workflow — from natural language query to Kaplan-Meier output to submitted abstract — using real-world longitudinal cardiac data. This is what clinical research looks like when months of data cleaning collapse into minutes.
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