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For example, algorithms based on deep learning can determine the location and size of tumors. This is the result of AutoPET, an international competition in medical image analysis.
Using an algorithm they call the Krakencoder, researchers at Weill Cornell Medicine are a step closer to unraveling how the brain's wiring supports the way we think and act. The study, published June ...
Over the past decade, health insurance companies have increasingly embraced the use of artificial intelligence algorithms.
Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...
Some algorithms used in the clinical space are severely under-regulated in the U.S. The U.S Department of Health and Human Services (HHS) and its subagency the Food and Drug Administration (FDA) are ...
Duke-NUS Medical School Summary: A commentary advocates the proper application of artificial intelligence in healthcare and warns of the dangers when machine learning algorithms are misused.
WASHINGTON — Most of the medical community has acknowledged that racism is baked into many of its clinical tools: pulse oximeters and kidney function calculators are prime examples. But as ...
For example, the Healing ARC intervention to address racial inequities in hospital admissions processes at Brigham & Women’s Hospital and the University of Virginia Medical Center partnered with ...
Hello and welcome to Eye on AI. In today’s edition…An international initiative aims to tackle bias in medical AI algorithms; Europe’s privacy regulators say training on internet data might ...
Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...
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