Diagnostic by image, one of the areas of medicine in which more is advancing the use of IA and ‘big data’

MADRID, 30 MARCH (EUROPE PRESS) –

The diagnostic on image is one of the areas of medicine in which more is advancing the use of artificial intelligence and big data, since he has been able to demonstrate Spanish experts in the journal of the journal ‘The Importance of Data and the artificial intelligence as a key factor in the transformation of medicine ‘, organized by the Bamberg Foundation with the patronage of Philips Iberica.

“All this development is possible thanks to the advancement of the ability to process and process clinical data. We have capabilities to develop algorithms that allow IT systems to interpret the data and learn the data, called machine learning”, ha dicho the president of the Bamberg Foundation, Ignacio Para.

Asimismo, the chair of Bioinformatics and director of the Biomedical Informatics Group of the Political Science University of Madrid, Víctor Maojo, has commented that artificial intelligence promises to revolutionize everything that has to do with the treatment of images within radiology and laxity.

In this sense, the Chair of Radiology at the University of Complutense, Alberto Muñoz, has informed that the images “his dates” and each time it is “more certain” to convert an image “into a function or a medical formula” thanks to kunsmatige inteligencia ya herramientas como el ‘machine learning’ y el ‘deep learning’.

“In Philips we have enormous potential in the use of artificial intelligence for the acquisition and classification of clinical data, help in diagnostic image and also in the optimization of medical treatment”, also said the director of Health Informatics and Philips Ibérica Bravo. This Philips device is made from a wide range of technological solutions that incorporate the IA to more efficiently achieve the attention paid by medical professionals.

IA IN CARDIOLOGY

On the other hand, Santos López presented at the bamboo of the Bamberg Foundation the project led by Philips in collaboration with the University of Salamanca Hospital to apply the IA to the prognosis of patients with aortic stenosis, a cardiac pathology that affects población mayor of 65 years. It is a treatment that is associated with a high mortality rate when evolution of liver or moderate to severe.

It is currently recommended to perform an echocardiogram every year until patients with aortic stenosis live or moderate in order to follow their evolution and the objective of this aortic aortic stenosis is moderate or to progress to aortic stenosis later in the uterus patient dates.

The volcado of ecocardiograms and other structured data in the ‘IntelliSpace Cardiovascular’ application of Philips allows prediction to specify the moment at which each patient has to develop severe estenosis and to precede any further elucidation .

“Artificial intelligence has not been able to assist medical professionals, except for a unanimous help that provides a great deal of information in the management of information that requires medical attention and repercussions radically in its clinical practice,” he said. of the Board of Trustees Assessor of the Bamberg Foundation, Mario Mingo.

The right, according to the experts, is to manage the cambio and convey to the sanitary professionals that artificial intelligence is a tool intended to make your work more efficient. “We are dedicated to dedicating an important part to the training of medical teams in order to know these technologies, as well as using them as a tool, not a replacement”, said the Deputy Director General of Systems and Technology of Information Galicia, Benigno Rosón.

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