GE Healthcare and UCSF Partner to Develop Deep Learning Algorithms
Wednesday, November 16, 2016
GE Healthcare and the University of California, San Francisco, have announced a partnership to create a library of machine and deep learning algorithms to help guide treatment for patients with a range of complex symptoms and conditions. The algorithms will be deployed globally through the GE Health Cloud and smart GE imaging machines.
"This enables physicians to spend less time reviewing the normal, so they can devote more time and deliver more rapid treatment to patients with potentially life-threatening conditions," Charles Koontz, chief digital officer at GE, told HCB News.
The partnership will initially focus on high-volume, high-impact imaging to develop algorithms that distinguish between a normal result and one that requires follow up or acute intervention.
One of the algorithms under development is for pneumothorax, which is a collapsed lung. It will rapidly sort through images and help prioritize those that potentially indicate abnormalities, said Koontz.