Researchers say AI could help reduce disparities, improve access in health care

Jeff Kurkewich, senior scientist on the genomic team at Delfi Diagnostics, works to extract DNA from tumor samples in Development Lab 1 to improve the assay. Delfi uses machine learning (artificial intelligence) algorithms to analyze blood samples and determine whether patients have cancer. — The Baltimore Sun/TNS

BALTIMORE: Cervical cancer, like many illnesses, is treatable if it’s caught early, but each year millions of women miss out on getting routine Pap smear screening for the disease, which kills a disproportionate number of Black women.

During the pandemic, cervical cancer screening rates got even worse, especially for lower-income women and women of racial and ethnic minority groups.