• J F Avila-Tomás, M A Mayer-Pujadas, and V J Quesada-Varela.
• Medicina de Familia y Comunitaria, Centro de Salud Santa Isabel, DASur, Madrid, España; Medicina Preventiva y Salud Pública, Universidad Rey Juan Carlos, Móstoles, Madrid, España; Miembro del Grupo de Trabajo de Innovación Tecnológica y Sistemas de Información de la semFYC. Electronic address: joseavil@gmail.com.
• Aten Primaria. 2020 Dec 1; 52 (10): 778-784.

AbstractTechnology and medicine follow a parallel path during the last decades. Technological advances are changing the concept of health and health needs are influencing the development of technology. Artificial intelligence (AI) is made up of a series of sufficiently trained logical algorithms from which machines are capable of making decisions for specific cases based on general rules. This technology has applications in the diagnosis and follow-up of patients with an individualized prognostic evaluation of them. Furthermore, if we combine this technology with robotics, we can create intelligent machines that make more efficient diagnostic proposals in their work. Therefore, AI is going to be a technology present in our daily work through machines or computer programs, which in a more or less transparent way for the user, will become a daily reality in health processes. Health professionals have to know this technology, its advantages and disadvantages, because it will be an integral part of our work. In these two articles we intend to give a basic vision of this technology adapted to doctors with a review of its history and evolution, its real applications at the present time and a vision of a future in which AI and Big Data will shape the personalized medicine that will characterize the 21st century.Copyright © 2020 The Authors. Publicado por Elsevier España, S.L.U. All rights reserved.

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