Some of the most interesting and promising artificial intelligence innovation is beginning to be used in the health care field. But there is also deep concern that along with making medical diagnoses more accurate or pointing the way to cures, machine learning technology might also generate misleading or inaccurate information that could do serious harm. As the use of these technologies increases in medical care, the World Health Organization and other groups are warning about the potential risks of bias, misinformation and privacy violations that may result from use of smart technologies in health care.

See Also: AI in Medicine Is Overhyped, Scientific American
Visar Berisha and Julie Liss write that AI models for health care that predict disease are not as accurate as reports might suggest.

Berisha is an associate professor in the School of Electrical, Computer and Energy Engineering, part of the Fulton Schools, and in ASU’s College of Health Solutions. Liss is a professor and associate dean of the College of Health Solutions.