Why My Medical AI Took 6.4 Seconds Per Scan and How I Got It to 3.1.

I built a chest X-ray diagnostic platform called ThoraxNet . It detects 14 thoracic pathologies from a single image, reports how confident it is using Monte Carlo Dropout, draws **GradCAM **heatmaps over the regions that drove each prediction, and writes a structured radiology report with an LLM. The model was the interesting part to build. It was not the part that decided whether the thing felt like a product. That came down to one unglamorous number: how long a user waits after they hit…