FDA Regulation of Artificial Intelligence/Machine Learning
Edwin Waldbusser is a consultant who retired from the industry after 20 years in the management of the development of medical devices (5 patents). He has been consulting in the US and internationally in the areas of design control, risk analysis, and software validation for the past 11 years. Mr. Waldbusser has a BS in Mechanical Engineering and an MBA. He is a Lloyds of London certified ISO 9000 Lead Auditor and a member of the Thomson Reuters Expert Witness network.
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.
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
- 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
Who Should Attend
- Software Engineers
- Regulatory Personnel
- Quality Assurance Personnel
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.
Attendees will receive a multipage outline and checklist.