WHO Framework for AI-Based Medical Devices: Training, Validation and Evaluation Explained

Описание: This video explains the World Health Organization (WHO) document “Generating Evidence for Artificial Intelligence–Based Medical Devices: A Framework for Training, Validation and Evaluation” (2021).

The framework provides international guidance on how to develop, test, and evaluate AI-based medical devices to ensure safety, effectiveness, and equity in real-world healthcare settings.

🔍 In this video, you will learn:

How AI algorithms should be trained, validated, and evaluated in healthcare

Why clinical validation is essential before deployment

How continuous post-market monitoring improves patient safety

The risks of bias and how diverse datasets reduce inequality

Why transparency and standardized reporting are critical

How the framework supports low- and middle-income countries

The role of international regulatory standards in AI governance

📊 Key contributions of the WHO framework:

A life-cycle approach to AI-based medical devices

Emphasis on real-world performance and safety

Guidance for developers, regulators, and policymakers

Ethical and equity-focused AI implementation in global health

📚 Reference:
World Health Organization. (2021).
Generating evidence for artificial intelligence–based medical devices:
A framework for training, validation and evaluation.
Geneva: WHO.

This video is ideal for:

Health researchers and clinicians

AI and medical device developers

Policymakers and regulators

Anyone interested in responsible AI in healthcare