
Rooting Out Racial Bias in Health Care AI, Part 1
Tradeoffs
The Role of Machine Learning in Diagnosing Sepsis in Children
The use of machine learning algorithms in diagnosing sepsis in children is seen as a crucial development to address human fallibility in detecting the condition. Data scientists have found that machine learning, a subset of artificial intelligence, can be trained to predict future outcomes by identifying patterns and trends in large amounts of data. This capability is considered essential in offering a backup system to bolster human diagnostic processes, especially in critical situations where a child's life is at stake.
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