FDA official sets out approach to AI in medical devices

MedTech Dive June 18, 2024
Elise Reuter

Developing quality assurance practices for AI models should be a priority, said Troy Tazbaz, director of the CDRH’s Digital Health Center of Excellence.

Dive Brief:

• Less than a week after the Food and Drug Administration published best practices for transparency in machine learning-enabled medical devices, a leader with the Center for Devices and Radiological Health shared more detail on how the agency is thinking about development and quality assurance for artificial intelligence.
• In a Monday blog post, Troy Tazbaz, director of CDRH’s Digital Health Center of Excellence, said establishing quality assurance practices to ensure AI models are accurate, reliable, ethical and equitable should be a top priority.
• Tazbaz said solutions include continuous monitoring before, during and after deployment...

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