Artificial intelligence in the detection of breast cancer by tomosynthesis, where are we going? Narrative Review

Abstract

Breast cancer represents the first cause of death from cancer in women and the fifth cause of death from cancer in men, early diagnosis represents a crucial factor in the outcome of the disease, which is why it continues to be the objective of study for find an effective, low-dose, and easily accessible method. In this sense, there are many barriers between the patient and the tools for early diagnosis, these barriers being even more noticeable in low-income countries, adding the human factor that can affect the diagnosis, since the evaluation of the breast image depends on the expertise and experience of the specialist radiologist. In view of this, the worldwide development of different artificial intelligence tools to assist diagnosis has been proposed through numerous studies and narrative and systematic review articles, with the intention of improving research in rural areas where there is no access to specialists. in breast imaging so that radiologists can diagnose lesions through a second image reading, highlighting those areas of distortion that were not visualized during the first reading. The development of a narrative review on the use of artificial intelligence in the diagnosis of breast cancer through tomosynthesis studies, at the Centro Médico Docente La Trinidad allows us to take the first steps to know the tools that are used in the world, motivating the development and use of these tools for the benefit of the patient.