Are we putting our faith in technology that we don't fully understand? A new study from the University of Surrey comes at a time when AI systems are making decisions impacting our daily lives—from banking and healthcare to crime detection. The study calls for an immediate shift in how AI models are designed and evaluated, emphasising the need for transparency and trustworthiness in these powerful algorithms. 

A new study led by researchers from Boston University Chobanian & Avedisian School of Medicine has found there is no consensus in how clinical experts interpret CGM reports from people without diabetes.

The Alfred P. Sloan Foundation has awarded Sloan Research Fellowships to two computer engineers from the University of Michigan's College of Engineering: Thatchaphol Saranurak and Andrew Owens.

Despite similar availability of diagnostic technologies to women of different racial and ethnic groups, significant disparities were seen in who actually received same-day diagnostic services and biopsies after abnormal mammogram findings, new research shows.  Even when breast-care facilities had the necessary technology and capabilities, minority groups were less likely than white women to receive diagnostic imaging on the same day as an abnormal screening result. Black women in particular were less likely to receive same-day biopsies, compared with white women.

The findings of a retrospective study are to be published Feb. 18 in the journal Radiology.  The lead author is Dr. Marissa Lawson, assistant professor of radiology at the University of Washington School of Medicine. Dr. Christoph Lee, UW professor of radiology, was senior author.

“We’re looking at how the diagnostic workup process might contribute to the population disparities we see with breast-cancer outcomes,” Lawson said. “It was surprising to find similar availability (of technologies) across racial and ethnic groups. But we still saw big differences in who was getting those same-day services.”