Abstract Neural networks are computer models that mimic the workings of the human brain, learning from large volumes of data to perform increasingly complex tasks. This is done by means of interconnected artificial neurons that propagate information from raw layers to refined layers, sometimes of a weighted nature, weaving in the classification or identification of non-linear patterns. The Convolutional Neural Network (CNN) is a specialized deep learning architecture designed to extract and analyze spatial patterns within images, enabling applications in […]

Echocardiography, since its initial descriptions in the 1950s, has evolved every decade with the incorporation of numerous new techniques, enabling structural cardiac analysis from multiple planes of spatial observation in real time. This occurred with the advent of nanotechnology, digital technology, application of modifiable algorithms based on the concept of machine learning and deep learning through the development of artificial intelligence (AI).– The use of AI is an ever-increasing reality in medicine as a whole, mainly in operator-dependent imaging areas, […]

Abstract Background: Echocardiography is part of the routine investigation of most heart diseases. However, its operator-dependent nature and the quality of the image obtained can cause significant variability in measurements and impair their interpretation. The method has advanced on its path of standardization and incorporation of new technologies in an attempt to reduce its deficiencies. Recently, part of this advancement was due to the incorporation of artificial intelligence (AI). Objectives: The objective of this work was to investigate the use […]

[…]