Artificial intelligence-enhanced opportunistic screening of osteoporosis in CT scan: a scoping Review.

Journal: Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA

PMID: 38985200

Abstract

PURPOSE: This scoping review aimed to assess the current research on artificial intelligence (AI)--enhanced opportunistic screening approaches for stratifying osteoporosis and osteopenia risk by evaluating vertebral trabecular bone structure in CT scans.

Authors

Alberto Paderno

Unit of Otorhinolaryngology - Head and Neck Surgery, ASST Spedali Civili of Brescia, Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, University of Brescia, Brescia, Italy.
Elmer Jeto Ataide Gomes

, Floy, Munich, Germany.
Leonard Gilberg

Floy GmbH, Munich, Germany.
Leander Maerkisch

Floy GmbH, Munich, Germany.
Bianca Teodorescu

Floy GmbH, Munich, Germany.
Ali Murat Koc

Floy GmbH, Munich, Germany.
Mathias Meyer

Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.

Keywords

Artificial Intelligence Bone Density Bone Diseases, Metabolic Deep Learning Humans Machine Learning Mass Screening Osteoporosis Risk Assessment Spine Tomography, X-Ray Computed

External Resources

View on PubMed Access via DOI PubMed (38985200)

Artificial intelligence-enhanced opportunistic screening of osteoporosis in CT scan: a scoping Review.

Abstract

Authors

Keywords

External Resources

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