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Using AI for breast cancer screenings can help both patients and radiologists | Breast cancer screenings are taking a toll on radiologists. Here is how AI can reduce their workload and help patients.
Breast cancer screenings are taking a toll on radiologists. Here is how AI can reduce their workload and help patients.
For instance, a paper published in 2020 revealed that women who regularly undergo mammography have a 41% lower chance of dying from breast cancer. “AI may be safely implemented into breast cancer screening to reduce workload, reallocate radiologist resources to where they are most needed, lower false-positive recalls, and possibly detect a larger proportion of breast cancers in women attending screening,” Andreas D. Lauritzen, lead author, and a postdoc student at the University of Copenhagen, told ZME Science. For instance, in Denmark, where the study is conducted, recalled patients have to go through diagnostic tests including palpation, ultrasound, supplemental mammography or tomosynthesis (3D mammogram), and possibly a needle biopsy.
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