Using artificial intelligence (AI), researchers at MIT and Massachusetts General Hospital developed a model to predict breast cancer up to five years before it appears.
The researchers tested the technology with data from 2009 to 2012 from 90,000 mammograms of more than 6,000 patients from Massachusetts General Hospital. The artificial intelligence system was able to detect subtle patterns that could not be identified by humans in breast tissue, thus predicting the possibilities of cancer development.
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This advance will make it possible to personalize treatments and follow-ups, adapting to the specific needs and risks of each patient.
Artificial intelligence predicted 31% of high-risk patient caseswhich represents a significant improvement in the prevention of the disease, since previous traditional techniques could only predict 18% of these cases.
The researchers hope to apply this approach to other diseases, revolutionizing early diagnosis and medical care, which would help in the fight against this disease that is growing in numbers both in Colombia and in the world.
According to cancer reports worldwide, the reproductive factors such as late age of first menstruation, early age at menopause, early age at first childbirth, and lactation breast cancer decrease the risk of breast cancer in general.
The experts pointed out that family history of breast cancer, added to personal situations, dense breasts in mammography, radiation exposure, alcohol and tobacco use, low physical activity, postmenopausal obesity, recent use of postmenopausal hormone therapy, and recent use of oral contraceptives are associated with increases in the overall risk of breast cancer.
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