
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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Bridging AI and Healthcare
This chapter explores the journey of a speaker who transitioned from applied mathematics to healthcare, driven by a passion for machine learning and AI. It discusses the complexities of using machine learning in healthcare, including challenges with data quality, bias in model outcomes, and the need for collaboration with healthcare professionals. The chapter highlights the importance of developing fair and effective algorithms to reduce health disparities across diverse patient demographics.
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