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Why it matters: Artificial intelligence is rapidly transforming the health care industry, and we must be vigilant to ensure that these technological advancements bring equitable outcomes. The Artificial Intelligence for Health Equity (AIHE) series at Johns Hopkins University addresses this challenge, ensuring that AI integration in health care fairly meets the needs of underserved communities.
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Why it matters: To ensure equitable health care access and delivery in the future, artificial intelligence designers and decision makers will need to follow bias avoidance best practices.
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Fraud, waste, and abuse have been identified as some of health care’s most vexing challenges, contributing to rising health care costs.