Inteligencia artificial en el diagnóstico por imagen de patología mamaria

Abstract

Artificial Intelligence systems are showing great development in the field of medical imaging. Its role in population screening programs stands out, where these systems can solve many of the problems detected, such as the lack of sensitivity and specificity of mammography, the workload involved in reading a significant number of studies or the introduction of tomosynthesis.

The ability of AI systems to establish the risk of breast cancer in an agile way undoubtedly represents a very important step towards personalized screening that will allow the selection of technique and frequency for each patient, or the administration of preventive measures and treatments in women at high risk.

Radiomics analysis of breast cancers from different modalities and in combination with other clinical-pathological data improves tumor characterization, as well as the prediction of prognosis and response to certain therapies.