A novel case-finding strategy based on artificial intelligence for the systematic identification and management of individuals with osteoporosis or at varying risk of fragility fracture.

Journal: Archives of osteoporosis
PMID: 38816562

Abstract

UNLABELLED: An artificial intelligence-based case-finding strategy has been developed to systematically identify individuals with osteoporosis or at varying risk of fragility fracture. This strategy has the potential to close the critical care gap in osteoporosis treatment in primary care, thereby lessening the societal burden imposed by fragility fractures.

Authors

  • Gianpaolo Voltan
    Centre for Metabolic Bone Diseases, Health Authority of Venice Province, Noale, Venice, Italy. gianpaolo.voltan@aulss3.veneto.it.
  • Gennaro Di Giovannantonio
    Health Authority of Venice Province, Mirano, Venice, Italy.
  • Giovanni Carretta
    Health Authority of Venice Province, Mirano, Venice, Italy.
  • Stefano Vianello
    Health Authority of Venice Province, Mirano, Venice, Italy.
  • Cristina Contessa
    Medical Management Unit, University Hospital of Padua, Padua, Italy.
  • Nicola Veronese
    Geriatrics Section, Department of Internal Medicine, University of Palermo, Palermo, Italy.
  • Maria Luisa Brandi
    Department of Surgery and Translational Medicine (M.L.B.), University of Florence, Florence, Italy.

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