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Equity and AI Governance at Academic Medical Centers

Equity and AI Governance at Academic Medical Centers
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Healthc-amst
Van-calster
University-of-minnesota-school-public-health
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How Patients Distinguish Between Clinical and Administrative Predictive Models in Health Care

Patients are less comfortable with predictive models used for health care administration compared with those used in clinical practice, signaling misalignment between patient comfort, policy, and practice.

United-states
Michigan
Trinidad-and-tobago
Ann-arbor
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AI in medicine needs to be carefully deployed to counter bias – and not entrench it

Powerful new artificial intelligence tools can perpetuate long-standing racial inequities if they are not designed very carefully. Researchers and regulators are taking note, but perils are vast.

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Kathryn-marchesini
Mark-sendak
Duke-mark-sendak
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Emily-sterrett
Melanie-fontes-rainer
Drug-administration
Human-services
Health-law-policy-at-harvard-school
Duke-institute-for-health-innovation
Office-for-civil-rights

AI in Medicine Needs to Be Carefully Deployed to Counter Bias – And Not Entrench It

AI in Medicine Needs to Be Carefully Deployed to Counter Bias – And Not Entrench It
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Human-services
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Office-for-civil-rights
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Duke-institute
Paige-nong
National-coordinator
Health-information-technology

AI in medicine need to counter bias, and not entrench it more : Shots

Powerful new artificial intelligence tools can perpetuate long-standing racial inequities if they are not designed very carefully. Researchers and regulators are taking note, but perils are vast.

California
United-states
Melanie-fontes-rainer
Emily-sterrett
Duke-mark-sendak
George-floyd
Carmel-shachar
Ganga-moorthy
Kathryn-marchesini
Mark-sendak
Us-department-of-health
Office-for-civil-rights

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