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Fighting Global Health Disparities with AI w/ Jon Wang - #426

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Navigating AI and Health Disparities

This chapter explores the complexities of implementing deep learning projects in healthcare, specifically addressing the challenges of large datasets and memory limitations. The discussion emphasizes the impact of systemic biases and disparities in healthcare resource allocation, highlighting the urgent need for more inclusive AI approaches. Additionally, it underscores the importance of accurate data representation and the role of digital health infrastructure in bridging gaps in global health equity.

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