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Validity : 18th Dec'24 to 28th Dec'24
FDA Regulation of Artificial Intelligence & Machine Learning
- Total product life cycle approach to AI/ ML design
- Application of FDA software Pre-Cert program to AI/ ML
- FDA discussion paper on AI/ML
- Database management
- QC of datasets
- Algorithm updating
- Reference standard development
- Standalone performance testing
- Clinical performance testing
- Data enrichment
- Emphasis on “explainability”
- Additional labeling requirements
- Cybersecurity
Overview of the webinar
AI/ ML will revolutionize medicine by making diagnosis and treatment more accessible and more effective. FDA has regulated medical software by means of regulation and guidance for years, however, AI/ML programs fall outside the scope of these regulations and guidance. This happens because the FDA approves the final, validated version of the software. The point of AI/ML is to learn and update the following deployment to improve performance. Thus, the field version of the software is no longer the validated approved version.
Who should attend?
Managers, Supervisors, Directors, and Vice-Presidents in the areas of:
- Software Engineers
- Engineers
- Regulatory Personnel
- Quality Assurance Personnel
- Marketing
- Management
Why should you attend?
It is not clear how to get AI/ML programs approved. The current regulatory requirements don’t control AI/ML adequately. We will discuss the approaches FDA is considering for regulation in the near future and how to get your AI/ML program approved by the FDA now. Necessary submission documentation will be explained.
We will discuss the current regulatory requirements, how they don’t control AI/ML adequately, and approaches FDA is considering for regulation in the near future. Your development program should conform to these concepts now because, with some modifications, they will probably become regulations. Following a discussion of possible future regulations, we will discuss, based on recently approved De Novo applications, how to get your AI/ML program approved now. Necessary submission documentation will be explained. This webinar is not a programming course but will explain the present and future regulatory requirements for AI/ML.
Faculty - Mr.Jose Mora
Jose Ignacio Mora is a Principal Consultant specializing in Manufacturing Engineering and Quality Systems. For over 30 years he has worked in the medical device and life sciences industry specializing in manufacturing, process development, tooling, and quality systems. Prior to working full-time as a consulting partner for Atzari Consulting, Jose´ served as Director of Manufacturing Engineering at Boston Scientific and as Quality Systems Manager at Stryker Orthopedics, where he introduced process performance, problem-solving, and quality system methodologies. During that time he prepared a white paper on the application of lean manufacturing methods to the creation and management of controlled documents and a template for strategic deployment.
Jose´ led the launch of manufacturing at a start-up urology products company as Director of Manufacturing for UroSurge, Inc. at the University of Iowa’s business incubator park in Coralville, IA, creating a world-class medical device manufacturing operation, with JIT, kanban systems, visual workplace, and lean manufacturing practices.