Work

Associations Between Deep Learning-Derived Fat, Muscle, and Bone Measures From Abdominal Computed Tomography Scans and Fall Risk in Persons Aged 20 Years or Older

Year: 2025

Type: dataset

Abstract: Publically available data that can be used to replicate the primary analyses in the published work.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.19168857

Authors: St Sauver, Jennifer, Grossardt, Brandon, Weston, Alexander, Garner, Hillary, Chamberlain, Alanna, Rocca, Walter, Pickhardt, Perry, Rule, Andrew

Institutions: Mayo Clinic, Mayo Clinic in Florida, University of Wisconsin–Madison

Language: English

Topic: Balance, Gait, and Falls Prevention

Subfield: Physical Therapy, Sports Therapy and Rehabilitation

Field: Health Professions

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Institutes of Health, National Institute on Aging

Award: A population-based study of deep learning derived organ and tissue measures for accelerated aging using repurposed abdominal CT images

OpenAlex ID: W7140113791

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