Paul Chang

In this enlightening discussion, Professor Paul Chang, a radiology expert from the University of Chicago, dives into the hurdles of AI adoption in breast cancer detection. He highlights a significant study where AI outperformed human radiologists, yet only 10-20% of mammograms utilize this technology. Chang explores trust issues, the need for compelling use cases, and the complexities of data integration. He also addresses the regulatory challenges the FDA faces in overseeing these innovations, calling for a fresh perspective and better collaboration in healthcare.