AI could revolutionize disease prevention. But flawed data could deepen health inequalities

Artificial intelligence is increasingly viewed as a powerful tool for predicting and preventing public health problems. But it is not just about using the most sophisticated algorithm, says Health and Kinesiology Associate Professor Bruno Nunes. “If we do not have good data, we will not have good models.” Nunes has tested machine-learning models for their ability to predict real-world health outcomes in Brazil. 

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https://www.ahs.illinois.edu/where-does-ai-fit-into-the-big-picture-of-public-health/