Artificial intelligence in medicine

A new way to detect breast cancer

Brain imaging, clinical decision support, detection of eye diseases... artificial intelligence promises to revolutionize the tasks and uses of medical diagnosis. We take stock of the progress and limits of these new technologies applied to health. "Almost all fields of artificial intelligence have applications in the field of health.  "The conclusion of the Stratégie France IA report submitted to the government in March 2017 speaks for itself. Medicine seems to have entered the data age and artificial intelligence (AI) will be a valuable tool in the future, particularly for diagnostic assistance.
...

The breast cancer

Breast cancer affects 1 in 8 women in France. It is the leading cause of cancer death in women. Early treatment significantly improves the prognosis. Reminder of everything you need to know about this cancer on the occasion of Rose October. Breast cancer is the most frequently diagnosed cancer in women and the most deadly. Breast cancer can also affect men but in a very small proportion (less than 1% of all cases). For the past 25 years, October has been an opportunity for women to take part in free breast cancer screening during Pink October.

This pathology develops from the cells of the mammary gland: it is called adenocarcinoma. "A cell of the mammary gland is transformed and suddenly develops in an anarchic manner; the resulting cells proliferate without stopping and can migrate to other parts of the body. They then metastasize, which can reach bones, organs such as the liver or the lungs," explains Professor Jean-Yves Pierga, head of the Medical Oncology Department at the Institut Curie. These cells develop from the epithelium that borders the galactophoric ducts (in which milk circulates).

The old way to detect breast cancer

...

The way to use artificial intelligence in medicine

By using the medical knowledge it possesses, the machine acquires new knowledge, just as a human being does: the more he knows, the more he learns," says Amedeo Napoli, research director at the Lorraine Laboratory for Research in Computer Science and Applications1. 1 His team is "digging through medical data to give it to an intelligent system and create a self-directed learning loop.