Artificial intelligence could help mothers to prevent breast cancer better

When the mothers forget in their doctor, they follow

Many young mothers testify to a recurring observation: after childbirth, medical events focus mainly on the child, while their health dates back to the background. The following consultations are spaced, the fatigue deposits and becomes easier to give a mammography or a control visit later.

However, the studies remember that there is a Vulnerability window: within 5-10 years from pregnancy, the risk of developing breast cancer is slightly higher. This does not mean that a maternity unit causes diseases, but that the breast tissue, in full reorganization, can promote the emergence of some tumors.

In this context, artificial intelligence could represent an additional security network. Analyzing the mammographs, These algorithms are able to identify too thin models to be seen by radiologists. Above all, they do not limit themselves to detecting a possible tumor present: they can also evaluate the risk that a woman develop breast cancer in the coming years. A particularly useful perspective for those, absorbed by motherhood, is likely to neglect one’s prevention.

Promises that they go beyond the maternal picture

Of course, these progress not only concern mothers. Research published in Breast cancer diary and the Jama internal medicine He underlines that the IA could transform screening for all women. By improving the accuracy of mammograms, it reduces false positives, limits unnecessary exams and could even help identify the most aggressive tumors in an initial phase.

In a context in which radiologists are under-effective and in which imaging volumes are increasing, these tools also save time and lighten the medical workload. Some clinical studies already show that the IA can play the role of “Second Reader” During the screening or ordering of normal mammographs to focus the attention of doctors on suspicious cases.

A tool, not a diagnosis

However promising Artificial intelligence alone cannot make a diagnosis. It remains a support tool, designed to complete the experience of doctors and not to replace it. In practice, this means that an algorithm can warn a suspected image or estimate a risk, but does not have the ability to explain the context of life, family history, nor to support a patient in his choices.

Researchers also highlight some technical limits: Most of the current models have been attracted to images mainly based on white womenwhich raises issues of reliability for other populations. Furthermore, like any statistical tool, artificial intelligence is never infallible: it can lose certain tumors or generally generate false warnings that require further exams.

Take care of yourself, to take care of others

Whether it’s mothers or not, all women could soon benefit from these innovations. But Remembering the importance of regular monitoring remains essential, in particular for those who leave motherhood. In daily life responsible for mothers, it is easy to forget yourself. However, prevention saves from lives.

Artificial intelligence, making screening more precise and personalized, could be a lever so that women’s health is no longer relegated to the background. Because taking care of yourself is also a way to protect your family.

Source: Madmoizelle