FDA-grade medical imaging with a 30-person team and a patent to show for it

Regulated imaging models need an evidence trail: how the data was labelled, how the model was evaluated, how it is watched in production.

• ✦Active learning loops that pick the most useful images for radiologists to label next.
• ✦Production monitoring: confidence thresholds, drift detection, A/B testing.
• ✦Integration with radiology systems alongside clinical and data engineering stakeholders.

• ✦Models were evaluated to FDA requirements, and production monitoring watched confidence thresholds and drift against that baseline.