Resource

Navigating AI Medical Device Certification

As AI becomes embedded in clinical decision-making, building software that is both effective and certifiable has become one of medtech's most pressing engineering challenges. AI-enabled Software as a Medical Device (SaMD) introduces compounding risks — across architecture, validation, and post-market governance, that can delay or derail regulatory clearance long after development begins. 

This white paper gives software architects, CTOs, and regulatory affairs professionals a shared technical and regulatory framework for building AI-enabled medical devices that are safe, certifiable, and scalable across the 2025–2026 FDA and EU AI Act landscape.

In this white paper you'll learn: 

  • How to define your SaMD regulatory path before a single line of code is written, and why architecture decisions made early determine certification outcomes later. 

  • Why only 10.2% of 2025 FDA clearances include a Predetermined Change Control Plan, and how adopting one enables post-market model updates without new submissions. 

  • How to apply IEC 62304 AI software architecture patterns to isolate non-deterministic components from safety-critical functions. 

  • What effective human-in-the-loop design looks like in practice, with examples from real-world deployments. 

  • What EU AI Act compliance requires by August 2, 2027, including demographic equity mandates that affect CE marking eligibility.