Explore more about: Biomedical Informatics

October 19, 2022
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Researchers have found that AI models could accurately predict self-reported race in several types of medical images, suggesting that race information could be unknowingly incorporated into image analysis models.
July 12, 2022
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Over the past two years, the pulse oximeter has become a crucial tool for tracking the health of COVID-19 patients. The small device clips onto a finger and measures the amount of oxygen in a patient's blood. But a growing body of evidence shows the device can be inaccurate when measuring oxygen levels in people with dark skin tones. A study published in JAMA Internal Medicine only adds to this concern. Source: NPR
July 12, 2022
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A flaw in a widely used medical device that measures oxygen levels causes critically ill Asians, Blacks and Hispanics to receive less supplemental oxygen to help them breathe than white patients, according to data from a large study published in JAMA Internal Medicine. Source: Reuters
July 12, 2022
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Patients with darker skin who received less accurate readings of their oxygen levels using pulse oximeters — the ubiquitous devices clamped on hospitalized patients’ fingers — also received less supplemental oxygen during ICU stays, according to a study published in JAMA Internal Medicine. Source: STAT
July 11, 2022
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Minority patient groups may receive less supplemental oxygen in the ICU due to inaccurate readings from pulse oximeters.
February 15, 2022
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NIBIB-funded engineers are using deep learning to differentiate tumor more accurately from normal tissue in positron emission tomography (PET) images.
September 8, 2021
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A team of engineers has demonstrated how a new algorithm they developed was able to successfully predict whether or not a COVID-19 patient would need ICU intervention. This artificial intelligence-based approach could be a valuable tool in determining a proper course of treatment for individual patients.
February 8, 2022
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A new article looks at the use of virtual imaging trials in effective assessment and optimization of CT and radiography acquisitions and analysis tools to help manage the coronavirus disease (COVID-19) pandemic.