MDR Compliance for AI Enabled Medical Devices

• Gain an in-depth understanding of MDR requirements and the EU AI Act for AI-enabled medical devices.
• Master practical approaches for integrating MDR-compliant processes into the design, development, and lifecycle management of AI-based devices.
• Acquire critical knowledge on AI-specific methodologies, including data preparation, algorithm validation, and testing frameworks.
• Learn to implement robust post-market surveillance (PMS) processes to ensure continuous compliance.
• Understand the expectations of TÜV SÜD and other notified bodies for conformity assessments.
• Enhance your professional profile with skills at the intersection of AI technology and medical device regulation.
• Help streamline AI integration in medical devices for faster market access.
• Leverage insights from TÜV SÜD’s leading experts and learn from industry best practices.

• Introduction
  • Overview of AI-enabled medical devices
  • Regulatory landscape: MDR and EU AI Act
  • Importance of compliance for AI in healthcare
• AI Concepts and Terminology
  • Core AI definitions and types
  • Key architectures: Machine Learning, Deep Learning, Generative AI
  • Applications of AI in medical devices
• AI Compliance under MDR
  • MDR requirements for Software as a Medical Device (SaMD)
  • Risk management and ISO 14971 for AI systems
  • Technical documentation preparation
• Data Quality and Management
  • Ensuring data quality and bias mitigation
  • Data lifecycle management and GDPR compliance
  • Addressing data drift and variability
• Development and Testing
  • AI-specific software development lifecycle (IEC 62304)
  • Testing strategies: Unit, integration, and system testing
  • Evaluating robustness and addressing adversarial risks
• The EU AI Act
  • Overview and implications for high-risk AI systems
  • Conformity assessment requirements
  • Provider obligations under the AI Act
• Case Studies and Best Practices
  • Success stories in AI compliance for medical devices
  • Learning from failures: Addressing bias, safety, and data issues
  • Strategies for achieving regulatory success
• Post-Market Surveillance (PMS)
  • Continuous monitoring and risk assessment
  • Periodic Safety Update Reports (PSUR) and trend analysis
  • Updating and retraining AI systems
• Transparency and Human Oversight
  • Explainable AI (XAI) for user trust and regulatory approval
  • Human-in-the-loop system design
  • Developing effective Instructions for Use (IFU)
• Summary and Q&A

This course is tailored for professionals and organizations involved in the design, development, and commercialization of AI-enabled medical devices, including:

• Medical Device Manufacturers
• Regulatory Affairs (RA) and Quality Assurance (QA) Professionals
• R&D Teams and Software Developers
• Executives and Decision-Makers
• Consultants and Regulatory Advisors

Professional Background:

• Experience in the medical device industry, especially in roles related to RA, QA, R&D, or software development.

Knowledge of Medical Device Regulations:

• Familiarity with MDR requirements and device lifecycle management.

Technical Understanding:

• Basic knowledge of software development processes and AI concepts is beneficial but not mandatory.

Awareness of Data Management:

• Understanding of data protection, GDPR, and risk management practices.

By the end of this course, participants will be able to:

• Understand Regulatory Frameworks:
  • Explain the requirements of the EU MDR and EU AI Act.
  • Identify how the regulations align for high-risk AI systems.
• Develop AI-Compliant Systems:
  • Integrate safety and compliance into AI device development.
  • Apply best practices for managing data quality and addressing bias.
• Prepare Comprehensive Technical Documentation:
  • Develop MDR-compliant documentation tailored to AI systems.
  • Address challenges like transparency and cybersecurity in AI.
• Implement Robust Testing & Validation Processes:
  • Conduct effective testing for AI components, ensuring reliability.
  • Validate AI systems against clinical and operational benchmarks.
• Ensure Post-Market Compliance:
  • Establish efficient PMS processes for ongoing monitoring.
  • Identify and mitigate risks through periodic updates.
• Collaborate Effectively with Notified Bodies:
  • Prepare for audits and interactions with TÜV SÜD.
  • Align organizational processes with high-risk AI system standards.
• Strategize for Future Readiness:
  • Stay updated with emerging AI technology trends and regulations.

• A review quiz reinforces core concepts, and participants receive an attendance certificate upon successful completion of the course.

1. Who is this course for?
Professionals in the medical device industry, particularly those working with AI-enabled devices seeking MDR and AI Act compliance.

2. Do I need prior AI knowledge to attend?
No prior in-depth knowledge is required. Foundational AI concepts are covered.

3. Is the course relevant globally?
While focused on EU regulations, many principles apply globally.

4. When can I get the certificate?
Certified MDR Compliance for AI Enabled Medical Devices certification will be issued within 21 working days from the examination date.

5. When can I get the training material and invite?
One day before the commencement of the training program.

6. How do I pay the fees for training?
Online mode

7. What are the benefits of the Certified MDR Compliance for AI Enabled Medical Devices?

• Gain in-depth knowledge of MDR requirements and the EU AI Act for high-risk AI medical devices.
• Learn best practices for AI-specific software development, testing, and compliance.
• Enhance expertise in managing data quality and ensuring regulatory alignment.
• Master post-market surveillance strategies to ensure device safety and continued compliance.
• Stay ahead with insights into emerging trends and real-world case studies in AI healthcare innovation.
• Build a strong foundation to navigate the evolving regulatory landscape confidently.