The Applications of Artificial Intelligence for Assessing Fall Risk: Systematic Review.

Journal: Journal of medical Internet research
Published Date: Apr 29, 2024

Abstract

BACKGROUND: Falls and their consequences are a serious public health problem worldwide. Each year, 37.3 million falls requiring medical attention occur. Therefore, the analysis of fall risk is of great importance for prevention. Artificial intelligence (AI) represents an innovative tool for creating predictive statistical models of fall risk through data analysis.

Authors

  • Ana González-Castro
    Nursing and Physical Therapy Department, Universidad de León, Ponferrada, Spain.
  • Raquel Leirós-Rodríguez
    SALBIS Research Group, Nursing and Physical Therapy Department, Universidad de León, Ponferrada, Spain.
  • Camino Prada-García
    Department of Preventive Medicine and Public Health, Universidad de Valladolid, Valladolid, Spain.
  • José Alberto Benítez-Andrades
    SALBIS Research Group, Department of Electric, Systems and Automatics Engineering, University of León, Campus of Vegazana s/n, 24071 León, Spain.

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