Article

Deep Learning Using High-Resolution Images of Forearm Predicts Fracture

2023-04-07

Abstract excerpt

<h4>Importance</h4> Fragility fractures are a public health problem. Over 70% of women having fractures have osteopenia or normal BMD, but they remain unidentified and untreated because the definition of ‘osteoporosis’, a bone mineral density (BMD) T-Score ≤ -2.5SD, is often used to signal bone fragility. <h4>Objective</h4> As deep learning facilitates investigation of bone’s multi-level hierarchical structure a...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: c48caeae-b7be-5242-be7e-eecf19a8c142
DOI: 10.1101/2023.04.05.23288167

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Deep Learning Using High-Resolution Images of Forearm Predicts FractureDOI 10.1101/2023.04.05.23288167Read

Integrating Deep Learning and Radiomics for Osteoporosis Screening in Elderly Population using Lumbar CTSemantic proximity Read

Bone Microarchitecture Phenotypes Identified in Older Adults Are Associated With Different Levels of Osteoporotic Fracture Risk.Semantic proximity Read

Enhanced osteoporotic fracture prediction in postmenopausal women using Bayesian optimization of machine learning models with genetic risk score.Semantic proximity Read

Cluster analysis of bone microarchitecture from high resolution peripheral quantitative computed tomography demonstrates two separate phenotypes associated with high fracture risk in men and women.Semantic proximity Read

Intelligence Architectures and Machine Learning Applications in Contemporary Spine CareSemantic proximity Read

Machine Learning to Predict Osteoporotic Fracture Risk from GenotypesSemantic proximity Read

Prognostic Association of Handgrip-Defined Probable or Possible Sarcopenia Status and Polygenic Risk with 10-Year Fracture Incidence among Black, Hispanic, and White Women: A Women’s Health Initiative StudySemantic proximity Read

Machine Learning to Predict Long and Short Term Fracture Risk in Postmenopausal WomenSemantic proximity Read

HyTrax: Deep Sequential Modeling of Serial Musculoskeletal Measurements for Fracture Prediction in the Women's Health Initiative with External Evaluation in the Framingham Heart StudySemantic proximity Read

BONEcheck: a digital tool for personalized bone health assessmentSemantic proximity Read

Machine Learning Approaches for Fracture Risk Assessment: A Comparative Analysis of Genomic and Phenotypic Data in 5130 Older Men.Semantic proximity Read

Deep learning based phenotyping of medical images improves power for gene discovery of complex diseaseSemantic proximity Read