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10
Oct

Researchers create guide for fair and equitable AI in health care

Artificial Intelligence, CT, Healthcare Excellence, magnetic resonance imaging, MRI, Radiology, RSNA, Technology

During the past several decades, health care systems have amassed giant stores of patient data through electronic health records, logging, disease-linked genetic aberrations, drug interactions, success rates of cancer therapies and more. Now, doctors and researchers with access to this trove of health information are at an inflection point. Through artificial intelligence, health systems have the ability to tap the once-amorphous aggregates of data that can predict health outcomes for patients.

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