Validating a machine learning model after deployment

This describes a computer program that continuously checks the performance of an artificial intelligence model used in medical diagnosis. Specifically, it monitors for any drop in performance when the AI analyzes medical images to make diagnoses, and also looks for anomalies in the image data itself or how it was captured. This helps quickly identify if the AI model or its input data needs adjustment.

Why it matters: Since 2018, the deployment of machine learning in medical imaging has surged, making robust post-deployment validation crucial for safety and regulatory compliance. The complexity of modern AI models also makes continuous monitoring more essential.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedComplex software logic, medical imaging integration.

3 AI reinvention directions for this patent

See all three

AI gives you a few directions you could take this. Pick one, and we check whether your version is different enough to patent, then write the filing.

Reinvent this with AI

Where this one came from

Every morning we go through millions of abandoned patents and pick out 15 worth your time. This was one of today’s.

This one

+10