Health centers across Israel have begun to use artificial intelligence to identify breast cancer tumors that may previously have been undetected.
The iCAD detection program has the ability to see through dense tissue and aims to improve diagnostic capabilities and increase early detection of breast cancer in women aged 40 and older.
The platform can also calculate a woman’s risk of developing a malignant breast tumor in the two years ahead.
The decision to use the platform at clinics belonging to Clalit, Israel’s largest health maintenance organization, came following a successful pilot at Rabin Medical Center in Petah Tikva, involving a review of more than 15,000 mammograms.
“By utilizing better tools like artificial intelligence to aid radiologists in these scans, we are able to increase the reliability of the scans and the cases of early detection, thus saving lives,” she said.
Health centers across Israel have begun to use artificial intelligence to identify breast cancer tumors that may previously have been undetected.
The iCAD detection program has the ability to see through dense tissue and aims to improve diagnostic capabilities and increase early detection of breast cancer in women aged 40 and older.
The platform can also calculate a woman’s risk of developing a malignant breast tumor in the two years ahead.
The decision to use the platform at clinics belonging to Clalit, Israel’s largest health maintenance organization, came following a successful pilot at Rabin Medical Center in Petah Tikva, involving a review of more than 15,000 mammograms.
“Early detection and intervention remain the two most impactful treatments for breast cancer which is why we always encourage women, and anyone at risk of developing cancer to routinely ensure that they are being scanned through semi-annual mammography exams,” said Dr. Ahuva Grubstein, the head of the Breast Imaging Unit at Rabin Medical Center.
“By utilizing better tools like artificial intelligence to aid radiologists in these scans, we are able to increase the reliability of the scans and the cases of early detection, thus saving lives,” she said.
