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Will AI Perpetuate or Eliminate Health Disparities?

The question at hand is whether artificial intelligence applications will further widen or help narrow health disparities.

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Will AI Perpetuate or Eliminate Health Disparities?

As AI algorithms ramps up, should patients be raging against the machine or encouraged that they might eventually be treated equally?

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AI in Medical Imaging Could Magnify Health Inequities, Study Finds

Addressing biases now and promoting awareness can encourage fairness in medicine

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AI In Medical Imaging Could Magnify Inequities

The University of Maryland, Baltimore (UMB) is the state’s public health, law, and human services university devoted to excellence in professional and graduate education, research, patient care, and public service.

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AI in medical imaging could magnify health in

Analyzing crowd-sourced sets of data used to create AI algorithms from medical images, University of Maryland School of Medicine researchers found that most did not include patient demographics and none evaluated for inherent biases either. That means they have no way of knowing whether these images contain representative samples of the population such as Blacks, Asians, and Indigenous Americans.

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Research Finds AI in Medical Imaging Could Exacerbate Health Inequities

Research Finds AI in Medical Imaging Could Exacerbate Health Inequities
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The State of AI: A Fireside Chat with AI Leaders

In this two-part series, ITN summarizes the RSNA21 panel of radiologists and biomedical imaging experts discussing the present, and future, state of artificial intelligence in radiology

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