首页|University of Leon Reports Findings in Artificial Intelligence (The Applications of Artificial Intelligence for Assessing Fall Risk: Systematic Review)
University of Leon Reports Findings in Artificial Intelligence (The Applications of Artificial Intelligence for Assessing Fall Risk: Systematic Review)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - New research on Artificial Intelligenc e is the subject of a report. According to news reporting from Ponferrada, Spain , by NewsRx journalists, research stated, “Falls and their consequences are a se rious public health problem worldwide. Each year, 37.3 million falls requiring m edical attention occur.” The news correspondents obtained a quote from the research from the University o f Leon, “Therefore, the analysis of fall risk is of great importance for prevent ion. Artificial intelligence (AI) represents an innovative tool for creating pre dictive statistical models of fall risk through data analysis. The aim of this r eview was to analyze the available evidence on the applications of AI in the ana lysis of data related to postural control and fall risk. A literature search was conducted in 6 databases with the following inclusion criteria: the articles ha d to be published within the last 5 years (from 2018 to 2024), they had to apply some method of AI, AI analyses had to be applied to data from samples consistin g of humans, and the analyzed sample had to consist of individuals with independ ent walking with or without the assistance of external orthopedic devices. We ob tained a total of 3858 articles, of which 22 were finally selected. Data extract ion for subsequent analysis varied in the different studies: 82% ( 18/22) of them extracted data through tests or functional assessments, and the r emaining 18% (4/22) of them extracted through existing medical rec ords. Different AI techniques were used throughout the articles. All the researc h included in the review obtained accuracy values of >70 % in the predictive models obtained through AI. The use of AI prov es to be a valuable tool for creating predictive models of fall risk.”
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