Researchers receive $196K grant to address issues related to AI, transparency in healthcare

As artificial intelligence (AI) adoption expands in radiology, there is growing concern that AI algorithms needs to undergo quality assurance (QA) reviews. How to validate radiology AI? How can you validate medical imaging AI?

Researchers at Duke University have been awarded a $196,000 grant to address a growing issue related to the use of artificial intelligence (AI) in healthcare: the gray area between explaining decisions to patients and protecting trade secrets associated with clinical decision support (CDS) software. 

3D imaging of tissue oxygenation may improve cancer treatments

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Vikram Kodibagkar (right), with graduate student Babak Moghadas, examines a dual-modality, siloxane-core nanoemulsion that is used to label implantable cells and measure the oxygenation of tissues and cells with an MRI. Courtesy of Arizona State University. 

“Knowing about the oxygenation (of tissues) might allow us to tailor the therapy to make it better and to use other therapeutic interventions that are more appropriate,” said Vikram Kodibagkar, PhD, an associate professor of engineering at Arizona State University in Tempe, according to a recent university news release.