文章基本信息

标题：Inteligência Artificial no diagnóstico de doenas neurodegenerativas: uma reviso sistemática de literatura
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作者：Emilayne Nicácio Dias Brito ; Bárbara Queiroz de Figueiredo ; Diego Nunes Souto 等
期刊名称：Research, Society and Development
电子版ISSN：2525-3409
出版年度：2021
卷号：10
期号：11
页码：1-10
DOI：10.33448/rsd-v10i11.20004
语种：English
出版社：Grupo de Pesquisa Metodologias em Ensino e Aprendizagem em Ciências
摘要：Introduction: Artificial Intelligence (AI) is a branch of computer science that aims to develop systems that simulate the human capacity of perceiving a problem, identifying its components in order to solve problems and propose/make decisions. Objective: to expand knowledge and categorize applications of the use of AI for the diagnosis, treatment and prognosis of neurodegenerative diseases, since, currently, its use becomes widely applicable and essential to circumvent the stages of the disease. Methodology: This is a descriptive research of the integrative literature review type performed through online access in the National Library of Medicine (PubMed MEDLINE), Scientific Electronic Library Online (Scielo), Google Scholar, Virtual Health Library (VHL) databases), Web of Science and EBSCO Information Services, June and July 2021. Results and discussion: In recent years, data from neural networks, deep learning, and other mathematical methods are developing at unprecedented speed. They have been widely used in the field of image analysis, and have shown great potential in medical image analysis in the diagnosis of Alzheimer's Disease, Parkinson's Disease, Multiple Sclerosis, and the application of these methods can further improve the data analysis capability. complex multimodal imaging and improve the efficiency of these diagnoses. Conclusion: with artificial intelligence, neurodegenerative disorders can be investigated at a deeper level, providing a comprehensive overview of the disease and paving the way for the application of precision medicine to these pathologies.
关键词：Artificial intelligence;Neurodegenerative diseases;Magnetic resonance;Diagnosis.