We've all been there: staring at a frozen app, a stalled progress bar. Annoying, right? But in medical robotics, a software malfunction can be the difference between success and failure during a surgical study.

In lung cancer diagnoses, a 3D Convolutional Neural Network (CNN) that is trained to assist is just a promise until a robust MLOps pipeline makes it a reality.

A model in a hospital isn't just about accuracy; it's about unwavering reliability and minimizing downtime in a secure, on-premise environment. This talk is a deep dive into the code that ensures that trust.