Potential for racial bias raises concerns for radiology AI

In July 2021, a team of 20 researchers from four countries led by Dr. Judy Gichoya from Emory University posted a preprint paper detailing how deep-learning models demonstrated consistently high performance for predicting a patient’s racial identity across multiple imaging modalities and anatomical locations.

Significant changes were made from the original preprint after several rounds of peer review, including polishing of the message and the addition of new experiments, according to a spokesperson from MIT’s Computer Science and Artificial Intelligence Laboratory.

However, the…