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Machine Learning for Equitable Healthcare Outcomes with Irene Chen - #479

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

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Navigating Equity and Ethics in Healthcare AI

This chapter explores the integration of machine learning in healthcare, focusing on its ability to address inequities while considering the ethical challenges involved. It discusses the critical need for effective communication between machine learning practitioners and clinicians, emphasizing feedback mechanisms that enhance model usability. The chapter also highlights the importance of uncertainty in clinical predictions and the collaborative nature of research in this evolving field.

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