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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.