Sponsored Webcast: Streamlining Multi-Region Submissions: MDR, FDA, and EU AI Act (On Demand)

AI-enabled medical devices must meet overlapping FDA, EU MDR, and EU AI Act requirements. Learn to operationalize compliance with shared data and AI to reduce manual work and accelerate audit-ready submissions.

Bringing AI-enabled medical devices to market requires meeting overlapping FDA, EU MDR, and EU AI Act requirements. The AI Act classifies most medical AI as high-risk, introducing expectations for conformity assessment, data governance, transparency, and human oversight alongside MDR’s clinical evaluation and post-market surveillance. In the U.S., the FDA requires full traceability under design control, risk management per ISO 14971, and documented verification and validation of software, algorithms, and data changes across the lifecycle.

The challenge is not understanding the regulations, but operationalizing them. This session explores how to align development and regulatory workflows around shared data, maintain traceability across requirements, risks, and evidence, and reduce manual effort across submissions so teams can move faster while staying audit and submission-ready.

Learning Objectives

Understand how FDA, EU MDR, and the EU AI Act define and enforce requirements, and how AI adds complexity through transparency, human oversight, and data governance.
Connect shared development artifacts to regulatory evidence, including MDR clinical evaluation and FDA design controls, without duplicating work.
Automatically generate compliant documentation for FDA, MDR, and EU AI Act submissions from shared data to reduce manual effort and accelerate timelines.

Who Should Attend?

Quality and Regulatory teams responsible for multi-region submissions who want to reduce manual effort, improve consistency, and accelerate approvals across FDA, MDR, and EU AI Act requirements.

Quality leaders looking to scale their impact by moving from document-driven processes to connected, audit-ready systems that reduce errors and rework.

R&D, Regulatory, and cross-functional leaders involved in bringing products to market across multiple regions and aligning development with compliance requirements.

AI and digital innovation teams exploring how to bring AI-enabled devices to market while meeting evolving expectations for transparency, governance, and validation.

Audience Learning Level

Basic: Content is introductory in nature and requires no requisite knowledge or experience to grasp concepts and related exercises. Basic educational activities are meant to establish a foundation of knowledge and/or competence that will be expanded upon in practice or in higher level activities.