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 Guang-Hong Chen, Ph.D., Professor of Medical Physics, Medical Physics, University of Wisconsin-Madison, to its College of Fellows. Dr. Chen was nominated, reviewed, and elected by peers and members of the College of Fellows For outstanding innovations and contributions in x-ray CT imaging physics, engineering, and clinical applications.