According to a new study in the American Journal of Roentgenology, incorporating artificial intelligence support into clinical practice can reduce repetitive tasks, saving approximately one hour of chest CT interpretation time in a radiologist’s typical workday.
A major new study in Radiology shows that artificial intelligence is a promising tool for breast cancer detection in screening mammography programs.
A more accurate model of the visual system may help neuroscientists and clinicians develop better treatments for alexia, prosopagnosia, and agnosia.
A novel artificial intelligence score provides a more accurate forecast of the likelihood of patients with suspected or known coronary artery disease dying within 10 years than established scores used by health professionals worldwide.
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In the race to harness medical data for artificial intelligence tools and personalized healthcare, a new study shows how easily unintentional design bias can affect those efforts
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Radiologists can now register their practices to take part in the next-generation American College of Radiology Data Science Institute artificial intelligence federated learning program hosted on the AI-LAB platform.
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A team lead by Korean researchers has developed an artificial intelligence technology that is able to generate CT images based on MRI images.
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A Tulane University researcher found that artificial intelligence can accurately detect and diagnose colorectal cancer from tissue scans as well or better than pathologists, according to a new study in the journal Nature Communications.
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