Using cutting-edge artificial intelligence technology, UW‒Madison investigators have developed a far more precise way to identify cases of COVID-19 induced pneumonia.
Using a custom artificial intelligence algorithm called CV19-Net, the UW research team dug into a vast resource database of tens of thousands of COVID-19 chest X-rays to show its method could identify pneumonia caused by COVID-19 at a sensitivity of 88%, according to Guang-Hong Chen, PhD, professor of medical physics and radiology at the University of Wisconsin School of Medicine and Public Health.
From the tens of thousands of X-rays available, the team pared down the number of X-ray images to train the artificial intelligence algorithm and then evaluated the performance of the CV19-Net algorithm over 5,900 X-rays from approximately 3,000 patients between Feb. 1 and May 3, 2020… Continue reading.
WASHINGTON, D.C.— The American Institute for Medical and Biological Engineering (AIMBE) has announced the pending induction of Scott Brian Reeder, M.D., Ph.D., Professor and Vice Chair of Research, Departments of Radiology, Medical Physics, Biomedical Engineering, Medicine and Emergency Medicine, University of Wisconsin, to its College of Fellows. Dr. Reeder was nominated, reviewed, and elected by peers and members of the College of Fellows For outstanding contributions to the development of MR Imaging and Quantitative MRI Biomarkers..