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11.5 | Navigating Singapore AI/ML Med Device Regs: A Dive into Guidelines — Medical Software Course
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Introduction to Medical Software - 11.5 | Navigating Singapore AI/ML Med Device Regs: A Dive into Guidelines — Medical Software Course

5.0 (3)
40 learners

What you'll learn

This course includes

  • 13 hours of video
  • Certificate of completion
  • Access on mobile and TV

Summary

Full Transcript

How are AI/ML medical devices regulated in Singapore? In this lesson, we take a detailed look at the Health Sciences Authority's (HSA) regulatory guidelines for software medical devices, focusing specifically on artificial intelligence and machine learning applications. We'll explore the unique requirements for pre-market submissions, delve into considerations for continuously learning systems, and understand the critical aspects of post-market monitoring to ensure safety and effectiveness. 🎯 Learning Objectives • Understand Singapore's regulatory framework for AI/ML medical devices. • Identify key pre-market submission requirements for AI-MDs, including dataset and model documentation. • Explain considerations for continuously learning AI/ML systems, such as bias prevention and rollback capabilities. • Describe the importance of post-market monitoring for AI/ML medical devices to prevent performance drift. • Recognize the challenges and future outlook for regulating AI/ML in medical software.

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