MLOps in regulatory constrained environment

Hi All, I would like to know how the ML ops are managed in a regulatory constrained, specifically if your algorithm/model will be approved by FDA. Once FDA-approved clinical metrics/business metrics kind of met. Do we still need to monitor the deployed model? If yes how these things are managed. It would be great somebody shares their experience from research to production to customer.

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Hi there,
I found this article: A Comprehensive Guide on How to Monitor Your Models in Production - neptune.ai
I hope it helps

Also this: How to Monitor ML Models in Production | Deepchecks