This talk presents a practical case of introducing AI-based quality control in a medical diagnostics lab, where the implementation led to measurable accuracy improvements and reduced manual work.

We’ll cover:
-- The overall strategy for AI implementation;
-- Data governance and compliance challenges (EU MDR, GDPR);
-- Key architectural and technology choices—including LLMs to handle data from a constantly evolving ecosystem of medical equipment, phased learning loops, privacy-by-design, and seamless integration into existing workflows.

First presented: OOP 2026, Munich