Introduction:

The growing computational development that has occurred in recent years, as well as the access to a large number of data (Big Data), has made the exploitation of computing resources possible to develop algorithms that increase the quality and scope of artificial intelligence (AI), which is taking a central role in radiology.

Objective:

To analyze the impact of artificial intelligence in radiology and the need for its implementation in imaging services.

Method:

A total of 23 bibliographical references in English and Spanish, most of them obtained from PubMed, SciELO and ScienceDirect databases, were analyzed using descriptors such as “inteligencia artificial”, “radiología” and “aprendizaje automático” for the Spanish language and "artificial intelligence", “radiology” and “machine learning” for the English language.

Results:

There is no area of ​​Radiology in which artificial intelligence has not been implemented in order to improve and develop programs that make it easier for the radiologist and the technician to obtain and diagnose images. Cuba is also immersed in this process; the first steps are being taken towards the development of these technologies.

Conclusions:

Research, workflow optimization, radiomics, prediction and classification of images are benefits that AI brings us; achieving an increase in the quality of these processes is only possible through the alliance between medical and computer sciences.

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