FDA-Approved AI-Algorithm Reveals Higher False Positive Rates in Key Patient Groups

Inside Precision Medicine May 22, 2024
Alice McCarthy

A retrospective study of screening mammograms assessed by an FDA-approved AI algorithm revealed higher rates of false positive case scores in African-American women and older women compared to White and younger patients. The same algorithm also revealed that false positive case scores were less likely in Asian patients compared with White patients.

The study of 4,855 screening mammograms included women of four general race/ethnicities: White, African-American, Asian, and Hispanic and results were published in Radiology.

“We wanted to see if an FDA-approved AI algorithm for breast cancer screening performed equally among all patients when considering characteristics such as age, breast density, and race/ethnicity,” explains first author Derek Nguyen, MD, Assistant Professor at Duke University.

The team undertook this analysis as...

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