Breakthrough AI Predicts Breast Cancer Risk 6 Years Ahead, Study Reveals

The Norwegian Institute of Public Health (FHI) shared on Tuesday that women who have a higher likelihood of being at risk of breast cancer may be identified several years before its diagnosis through AI.

This was proven when an AI system conducted a post-analysis of the mammograms of 116,495 women (taken through a detection program held in Norway between 2004 and 2018)  and was able to identify 1,607 women who were at higher risk to have breast cancer — and even which breast was more likely to develop the disease — at the initiative of five researchers from FHI, the University of California and the University of Washington.

The study was published in the Journal of the American Medical Association Network, where prestigious medical journals are edited and peer-reviewed by the American Medical Association.

Similarly, another project launched by the Norwegian detection program involving the use of AI for healthcare-related services was organized last year, in which 140,000 women were asked which was more efficient (or even better) in diagnosing cancer cases — AI or radiologists.

Solveig Hofvind, the head of the detection program and the AI project, said that, “We noted that the breast which developed cancer had an AI score about twice as high as the other breast,” further adding that the study supports the notion that AI systems can be utilized for the advancement of tailored cancer detection methods.

Moreover, the FHI claimed that in order to reduce costs and have a better probability of targeting at-risk populations, AI could be used for the early diagnosis of breast cancer, the most prevalent type of cancer affecting women in most countries.

In 2022 alone, 670,000 women died of breast cancer, according to the World Health Organization (WHO), a clear indication that its widespread presence needs to be addressed and controlled.

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