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Tradeoffs

Rooting Out Racial Bias in Health Care AI, Part 1

Dec 7, 2023
Dr. Emily, a specialist in diagnosing bias in AI and reducing racial bias in health care AI, discusses the challenges of diagnosing bias in AI, recognizing and addressing racial bias in healthcare AI algorithms, and the actions taken by federal agencies and healthcare professionals to address bias.
21:43

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Quick takeaways

  • The use of AI in healthcare shows promise in improving diagnoses and treatment, but it is crucial to carefully address potential biases and ensure that AI algorithms are designed to provide accurate and equitable healthcare.
  • Bias in AI algorithms is a significant concern in healthcare, and there is a need for more widespread regulation and policies to prioritize racial equity in healthcare AI.

Deep dives

AI in Healthcare: Improving Diagnoses and Treatment

AI algorithms are being used in healthcare to improve diagnoses and treatment. These algorithms can analyze large amounts of data and identify patterns that may not be apparent to humans. For example, at Duke University Hospital, an algorithm is being developed to help clinicians identify children at risk for sepsis. The algorithm uses clinical data to predict which patients are most likely to develop sepsis, allowing for timely intervention and potentially saving lives. While the use of AI in healthcare shows promise, there is a concern that these algorithms can perpetuate bias and inequities. It is crucial to carefully address potential biases and ensure that AI algorithms are designed to provide accurate and equitable healthcare.

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