Explore more about: Biomedical Informatics

One day, the ultrasound equipment that health care professionals use for essential diagnostic imaging may no longer be confined to the clinic, instead operated by patients in the comfort of their homes. New research marks a major step toward that future.

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.

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

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

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

Minority patient groups may receive less supplemental oxygen in the ICU due to inaccurate readings from pulse oximeters.

NIBIB-funded engineers are using deep learning to differentiate tumor more accurately from normal tissue in positron emission tomography (PET) images.

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.

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.