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Health Data Poverty Part 1 with Xiao Liu
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Welcome to "Global Perspectives on Digital Health," a podcast series dedicated to exploring the use of artificial intelligence in clinical settings across Lower and Middle Income Countries (LMICs). Each episode offers unique insights into the challenges and successes of AI deployment and what lessons can be drawn for the EU, USA, and UK.
Episode 1: Navigating the Ethical Terrain of AI in Healthcare with Dr. Xiao Liu
Join us as we dive into a crucial conversation with Dr. Xiao Liu, a leading figure in AI ethics, evaluation, and regulation. This episode focuses on one of the most pressing issues in the field: responsible AI.
Key Topics:
- Defining Health Data Poverty: What it means and why it matters for global health.
- Relevance to Developed Nations: Understanding the implications for the US, EU, and UK.
- In-Depth Analysis: Discussing a 2021 Lancet paper co-authored by Dr. Liu.
- Real-world Examples: Exploring instances of health data poverty and its impacts.
- Expert Recommendations: Dr. Liu shares her views on current progress and the steps ahead.
- Broader Implications: How can society and the healthcare ecosystem address these challenges comprehensively?
Looking Ahead:
Stay tuned for Part 2, where we will showcase actual initiatives addressing these issues in Brazil.
Resources:
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