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Navigating FDA Regulations for SaMD AI and Machine Learning with Adam Foresman

Navigating FDA Regulations for SaMD AI and Machine Learning with Adam Foresman

Update: 2024-05-15
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The FDA Group's Nick Capman sits down with Adam Foresman, Head of Quality & Regulatory Affairs at VideaHealth, to explore the intersection of AI, machine learning, and diagnostics within the FDA's regulatory environment. Adam brings over 15 years of experience in medical device design, quality management systems, and regulatory affairs, with a recent focus on AI in the dental diagnostic market.


Discussion points include:



  • The Regulatory Landscape for AI in Dental Diagnostics: Adam shares his insights on how AI and ML are becoming integral in dental diagnostics, aiding in identifying previously missed detections, enhancing patient education, and streamlining administrative tasks. He highlights that early adopters in healthcare and dental organizations are reporting significant benefits from AI, encouraging broader adoption.

  • FDA Clearance for Pediatric AI Applications: Adam sheds light on VideaHealth's recent 510(k) clearance for a dental AI application for pediatric patients. he offers pointers for successful software as a medical device (SaMD) submissions, emphasizing the importance of Q-submissions, thorough software documentation, and specific considerations for pediatric applications.

  • Predetermined Change Control Plans (PCCPs): Adam explains the concept of PCCPs, allowing manufacturers to include future design changes in pre-market submissions, potentially avoiding re-submissions. While he sees broader applications outside of AI, he notes the challenges AI manufacturers face in predicting future design changes accurately.

  • Comparative Regulatory Approaches — US vs. EU: Adam compares regulatory frameworks between the US and the EU, noting that while both aim to ensure clinical benefits outweigh risks, their methodologies differ. He praises the EU’s focus on post-market surveillance and risk management processes, suggesting the FDA could benefit from similar approaches.

  • AI Transparency and Bias Considerations: With growing concerns about AI transparency and bias, Adman discusses the FDA's recent emphasis on these issues. He advocates for clear communication of AI test results by subgroups and suggests that the FDA might develop more detailed transparency guidelines in the future.

  • Role of Regulatory Affairs Professionals: Adam encourages regulatory professionals to promote AI understandability and transparency within design teams, ensuring that patient and clinician perspectives are considered in AI development.

  • Future Trends and Recommendations: Adam predicts an increase in AI submissions that bundle multiple models, urging adherence to FDA guidelines for such complex submissions. He also emphasizes the importance of engaging with regulatory bodies early in the design process and maintaining robust QMS processes.




Adam Foresman is the Head of Quality & Regulatory Affairs at VideaHealth. with over 15 years of experience in the medical device industry, Adam excels in product quality, quality systems, and regulatory compliance. His expertise encompasses design controls, statistical analysis, internal and external auditing, CAPA management, product performance, metrology program management, cGMP practices, and ISO 13485 & 21 CFR 820 quality management activities.


At VideaHealth, Adam has co-developed and executed business strategies, globalization, and the clinical roadmap. He leads efforts in product quality, quality systems, pre-market approvals, and regulatory compliance for cutting-edge artificial intelligence and machine learning diagnostics. Adam is also a champion of cybersecurity and HIPAA activities, ensuring robust protection and privacy for sensitive health data.

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Navigating FDA Regulations for SaMD AI and Machine Learning with Adam Foresman

Navigating FDA Regulations for SaMD AI and Machine Learning with Adam Foresman

The FDA Group