Artificial intelligence can identify women with an increased risk of developing breast cancer several years before its diagnosis, it announced today Norwegian Institute of Public Health (FHI).

Five researchers from FHI and Universities of Washington and California used an TN algorithm available in trade for analysis respectively mammography 116,495 women which participated in a control program in Norway between 2004 and 2018.

Among them, 1,607 had developed breast cancer.

Through a system of risks performed by mammograms, the algorithm was able to predict an increased risk for breast cancer, and even determine which breast is at risk, four to six years before diagnosis.

“We found that the breast that developed cancer received a value from TN almost twice as much as the other breast“, Explained to Solveich Hofvid, the program manager and director of the control program, citing a press release.

“The study shows that TN algorithms already available on the market can be used to develop more personalized control programs“, He added.

The use of TN would benefit the improvement of early detection, cost reduction and better targeting of the at risk, estimates FHI.

According to the World Health Organization (WHO) 670,000 women died in 2022 from breast cancer, the most common form of cancer in women in the vast majority of countries.

The study was published in October by Jama Network (Jama/ Inspection of the American Medical Society), publishing a set of American medical and scientific journals.

The Norwegian control program also started another study last year with the participation of 140,000 women to determine whether TN may also be as effective, perhaps even better than radiologists in the diagnosis of cancer.