Health Data Poverty Part 1 with Xiao Liu
Episode 1: Health data poverty : what can we do about it?
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: health data poverty. We cover what it is, and how we might go about addressing this.
Key Topics:
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 implemented initiatives addressing these issues in Brazil.
Stay tuned for Part 2, where we will showcase implemented initiatives addressing these issues in Brazil.
Resources:
