Artificial intelligence for opportunistic screening of osteoporosis across multiple imaging modalities: a systematic review.

ABSTRACT:

Background

Osteoporosis often remains undetected until fracture. Dual-energy X-ray absorptiometry (DXA) screening is limited by poor accessibility. Opportunistic screening of routine medical images, powered by artificial intelligence (AI), may enable automated, large-scale bone health assessment.

Methods

This systematic review followed PRISMA 2020 guidelines. We searched PubMed, Cochrane Library, and Web of Science up to February 2026 for studies developing AI models for opportunistic osteoporosis screening. Two reviewers independently screened, extracted data, and assessed risk of bias using phase classification and PROBAST. Outcomes included osteoporosis, osteopenia, and fracture risk prediction, evaluated mainly by area under the curve (AUC). Principal component analysis

SUBMITTER: Chen X 

PROVIDER: S-EPMC13472928 | biostudies-literature | 2026

REPOSITORIES: biostudies-literature