Sophisticated type of artificial intelligence to predict women at future risk of breast cancer-Industry Global News24

High breast density or a greater amount of glandular and connective tissue compared to fat are considered as one of the major risk factors for cancer. It is believed, while density may be incorporated into risk assessment, the current prediction models are likely to fail to take complete advantage of the expansive information present in mammograms. Experts allege this information can help to identify women who would benefit from the additional screening with MRI. Karin Dembrower, M.D., breast radiologist and Ph.D. candidate from the Karolinska Institute in Stockholm, Sweden has developed a risk model which is dependent on a wide neural network, a type of AI that can extract vast amounts of information from mammographic images. These have several advantages in comparison to other methods like visual assessment of mammographic density by the radiologists, which are not capable of capturing all risk-relevant information in the image. Sources state, the new model was developed and trained on mammograms from cases diagnosed between 2008 and 2012 and then studied on more than 2,000 women ages 40 to 74 who had undergone mammography in the Karolinska University Hospital system.