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Artificial Intelligence in Biomedical Engineering
* 1 , 2, 3 , 3, 4
1  Faculty of Informatics, Universidad de A Coruña (UDC), A Coruña, Spain.
2  Faculty of Pharmacy, Central University of Las Villas (UCLV), 50300, Santa Clara, Cuba.
3  IKERDATA S.L., ZITEK, UPV/EHU, Rectorate uilding, 48940, Leioa, Biscay, Spain.
4  Department of Public Law, Law and the Human Genome Research Group, University of The Basque Country UPV/EHU, 48940, Leioa, Biscay, Spain.
Academic Editor: Humbert G. Díaz


The article published by Yoav Mintz and Brodie in Minim Invasive Ther Allied Technol, 2019 Apr describes the use of artificial intelligence techniques in medicine. Artificial intelligence has developed over the years, being proposed by John McCarthy in 1956 at a conference held on this subject, but the possibility that machines can perform human activity and think was raised earlier by Alan Turing, who developed the Turing test to differentiate humans from machines. Since that time, the power of computing and artificial intelligence have developed to the point of instant calculations and the ability to analyze new data, relative to previously evaluated data, in real time. Currently, AI is used in our daily lives in various ways, for example personal assistants (Siri, Alexa, Google assistant, etc.), automated mass transport, aviation and computer games. In recent years, AI has also begun to be used in medicine to achieve better patient care since it can speed up processes with greater precision, thus opening the way to provide better comprehensive medical care. For example, it is used in the analysis of radiological images and pathology slides of patients, which helps in the quality and speed of diagnosis and treatment and increases the capabilities of physicians. For this reason, the development of this science applied to medicine is of great importance.

Keywords: artificial intelligence, machine learning, neural networks