Use este identificador para citar ou linkar para este item: https://locus.ufv.br//handle/123456789/17278
Tipo: Artigo
Título: Artificial neural networks and medical education
Autor(es): Siqueira-Batista, Rodrigo
Vitorino, Rodrigo Roger
Gomes, Andréia Patrícia
Oliveira, Alcione de Paiva
Ferreira, Ricardo dos Santos
Esperidião-Antonio, Vanderson
Santana, Luiz Alberto
Cerqueira, Fabio Ribeiro
Abstract: The transformations that medical practice has undergone in recent years – especially with the incorporation of new information technologies – point to the need to broaden discussions on the teaching-learning process in medical education. The use of new computer technologies in medical education has shown many advantages in the process of acquiring skills in problem solving, which encourages creativity, critical thinking, curiosity and scientific spirit. In this context, it is important to highlight artificial neural networks (ANN) – computer systems with a mathematical structure inspired by the human brain – which proved to be useful in the evaluation process and the acquisition of knowledge among medical students. The purpose of this communication is to review aspects of the application of ANN in medical education.
Palavras-chave: Educação Médica
Redes neurais artificiais
Medicina
Editor: Revista Brasileira de Educação Médica
Tipo de Acesso: Open Access
URI: http://dx.doi.org/10.1590/S0100-55022014000400017
http://www.locus.ufv.br/handle/123456789/17278
Data do documento: 20-Ago-2014
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