Abstract

DE LA CRUZ FIGUEROA, Luis Felipe; FERNANDEZ RODRIGUEZ, Ricardo  and  GONZALEZ RANGEL, Miguel Ángel. Towards artificial intelligence in medicine education. Preliminary approach. RCIM [online]. 2018, vol.10, n.1, pp.68-75. ISSN 1684-1859.

Existing Artificial Intelligence solutions for teaching- learning processes by means of tutors, learning management or video games are presented here. Their capacity for dynamic adaptation to student's learning development is detected. Absence of the same or others in areas of regulated training is observed, what constitutesan undeniable disadvantage. The objective of this paper is to characterize the state of application of Artificial Intelligence in pedagogy and to consider the importance and practical feasibility of the Artificial Intelligence techniquefor improving the learning processes. We analyze the Expert Systems, Artificial Neural Networks, Genetic Algorithms and Cases Based Reasoning methods, as well as the computer tools: Apache Web Server and the Java Script, PHP for Serversand MySql Database Management Languages, which all of them are required for using these Artificial Intelligence methods and tools in multiplatform environment. Results sum up as disadvantages when employing several mentioned Artificial intelligence techniques, but Cases Based Reasoning technique turns out to be the most perspective and promising one. Consequently the state of Artificial Intelligence turns out equally so for the teaching process, as well as forhaving this technique available for development in this field. It is concluded that the outlined objective, the analysis of the best known techniques, the feasibility of application of the Cases Based Reasoning, and the definition of the Computer Tools are met for multiplatform application of the selected Artificial Intelligence technique from this preliminary approach.

Keywords : artificial intelligence; higher medical education; pedagogy; medical teaching; medical education.

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