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Using machine learning to reduce costs, increase accuracy, and improve access in healthcare

Machine learning could slash healthcare costs while boosting accuracy. Here's how one researcher is making it happen.

Reporting by Amazon Science 1 min brief
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The KeyNews take

Why it matters

Academic research shows practical pathways for AI to address healthcare's biggest challenges - cost, accuracy, and access - with real-world implementation strategies that could influence enterprise healthcare AI investments.

The key facts

3 to know

  1. Gari Clifford leads Department of Biomedical Informatics at Emory University

  2. Amazon Research Award recipient

  3. Focus on reducing costs, increasing accuracy, improving access in healthcare

Go to the source

Amazon Scienceamazon.science

Publisher excerpt: Gari Clifford, the chair of the Department of Biomedical Informatics at Emory University and an Amazon Research Award recipient, wants to transform healthcare.
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