To address concerns around patient privacy and data security in medical artificial intelligence, Stephen Baek, assistant professor of industrial and systems engineering at the University of Iowa, along with UI investigators Xiaodong Wu, professor of electrical and computer engineering, and Nick Street, professor of business analytics, has received a $1 million phase one grant from the National Science Foundation to lead a multi-university and industry collaboration to develop a new machine learning platform to train medical AI models with data from around the world.

Technology developed at Iowa is used to develop artificial intelligence software that can detect potential safety risks ranging from weapons to slip and fall hazards.

At the University of Iowa’s National Advanced Driving Simulator (NADS) research center, more than 40 faculty, staff, and students use a 93-ton moon-lander-looking machine and a variety of vehicle cabs to study the way people drive. This test rig—called NADS-1—rides on seven belts (six on the x-axis, one on the y). All in, this costs about $80 million, but it allows researchers to perfect today’s automated driving tech in a safe, controllable way.