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Artificial Intelligence Predicts Elderly Falls

  • Pharma Kronos - 15 September 2020
pharma kronos

An Artificial intelligence algorithm – the silver index, developed with the hunova robot – able to predict “with the highest accuracy the risk of the elderly falling by simultaneously measuring the biomechanical and neurological parameters of a person, simulating in a controlled way all the static and dynamic ‘perturbative’ elements at the origin of the fall, highlighting case by case the specific deficit of the person and the related rehabilitative intervention. The result – the study of 24 months at the Galliera Hospital in Genoa with 150 elderly people – was published in the journal ‘Plos One’.

The article is presented in Italian Language

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