New AI Tool Imitates Radiologist’s Gaze to Analyze X-Rays

Ngan Le, member of the UA Power Group and assistant professor of computer science and computer engineering, studies AI and computer vision. Le and her collaborators developed a highly accurate AI framework for reading chest x-rays called “ItpCtrl-AI”, which stands for interpretable and controllable artificial intelligence. The researchers taught the AI software to look at chest X-rays like a radiologist by examining the gaze of radiologists, both where they look and how long they looked at that area. The heat map created from this eye-gaze dataset showed the AI software where to search for abnormalities and what section of the image required less attention.

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REU Students Tour MUSiC Laboratory

REU Students Tour MUSiC Laboratory

The University of Arkansas Power Group recently welcomed Research Experiences for Undergraduates (REU) students to the Multi-User Silicon Carbide Research and Fabrication Facility (MUSiC) for an inside look at cutting-edge semiconductor research and manufacturing....

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KAIST GCC Visits HiDEC Research Laboratories

KAIST GCC Visits HiDEC Research Laboratories

The University of Arkansas Power Group recently welcomed representatives from KAIST GCC for a tour of the High Density Electronics Center (HiDEC) and other advanced research laboratories at the University of Arkansas.   During the visit, guests explored advanced...

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