Thinking out loud about AI products, health data, and what it takes to ship them.
Kicking things off — what this blog is about, how it syncs with my Medium (@databyjay), and the content pillars I'll write on: data science in healthcare, AI and ML, health informatics, technical tutorials, and career insights.
A personal narrative on moving from healthcare into data science, and why I believe every patient interaction generates data that could save lives — we just need to learn how to listen to what it's telling us.
A deep-dive on the real challenges of CV in medical imaging — data annotation, inter-observer variability, and class imbalance — and the practices that made models trustworthy.