Argonne collaboration advances applications of AI in health care

Accurately diagnosing patients and predicting their risk for complex diseases is hard. Artificial intelligence (AI) has the potential to help doctors perform these tasks with greater speed and reliability.

Using AI, one can generate models that health care providers can use to predict patients’ risk for heart disease, cancer and various other conditions. But to make AI models accurate, they must be trained using data from multiple providers.

While health care generates vast amounts of data year after year, most of it isn’t available because of the need to protect identifiable patient information. With limited data access, AI models often aren’t as reliable in the real world, limiting how they can be used within healthcare.

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