Machine Learning Solutions for Osteoporosis—A Review

A Deep Learning Approach to Antibiotic Discovery

(2020) Jonathan M. Stokes et al.   CELL

Prediction of bone mineral density from computed tomography: application of deep learning with a convolutional neural network

(2020) Koichiro Yasaka et al.   EUROPEAN RADIOLOGY

Identification of elders at higher risk for fall with statewide electronic health records and a machine learning algorithm

(2020) Chengyin Ye et al.   INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS

Convolutional Neural Network for Second Metacarpal Radiographic Osteoporosis Screening

(2020) Nahom Tecle et al.   JOURNAL OF HAND SURGERY-AMERICAN VOLUME

An Exemplar Pyramid Feature Extraction based Humerus Fracture Classification Method

(2020) Sukru Demir et al.   MEDICAL HYPOTHESES

Improved protein structure prediction using potentials from deep learning

(2020) Andrew W. Senior et al.   NATURE

Radiomics for classification of bone mineral loss: A machine learning study

(2020) S. Rastegar et al.   Diagnostic and Interventional Imaging

Evaluation of Transfer Learning with Deep Convolutional Neural Networks for Screening Osteoporosis in Dental Panoramic Radiographs

(2020) Ki-Sun Lee et al.   Journal of Clinical Medicine

Osteoporotic hip fracture prediction from risk factors available in administrative claims data – A machine learning approach

(2020) Alexander Engels et al.   PLoS One

Precise proximal femur fracture classification for interactive training and surgical planning

(2020) Amelia Jiménez-Sánchez et al.   International Journal of Computer Assisted Radiology and Surgery

Artificial intelligence versus clinicians: systematic review of design, reporting standards, and claims of deep learning studies

(2020) Myura Nagendran et al.   BMJ-British Medical Journal

Discrimination of Low-Energy Acetabular Fractures from Controls Using Computed Tomography-Based Bone Characteristics

(2020) Robel K. Gebre et al.   ANNALS OF BIOMEDICAL ENGINEERING

Integrative blockwise sparse analysis for tissue characterization and classification

(2020) Keni Zheng et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

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

(2020) Qing Wu et al.   CALCIFIED TISSUE INTERNATIONAL

Clinical Utility of Computer‐aided Diagnosis of Vertebral Fractures from Computed Tomography ( CT ) Images

(2020) Nithin Kolanu et al.   JOURNAL OF BONE AND MINERAL RESEARCH

Advanced Deep Learning Techniques Applied to Automated Femoral Neck Fracture Detection and Classification

(2020) Simukayi Mutasa et al.   JOURNAL OF DIGITAL IMAGING

Computer-aided diagnosis systems for osteoporosis detection: a comprehensive survey

(2020) Insha Majeed Wani et al.   MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING

Applications of Artificial Intelligence in Musculoskeletal Imaging: From the Request to the Report

(2020) Natalia Gorelik et al.   CANADIAN ASSOCIATION OF RADIOLOGISTS JOURNAL-JOURNAL DE L ASSOCIATION CANADIENNE DES RADIOLOGISTES

Prediction of osteoporotic hip fracture in postmenopausal women through patient-specific FE analyses and machine learning

(2020) E. Villamor et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Deep learning evaluation of pelvic radiographs for position, hardware presence, and fracture detection

(2020) Gene Kitamura   EUROPEAN JOURNAL OF RADIOLOGY

The effect of deep convolutional neural networks on radiologists' performance in the detection of hip fractures on digital pelvic radiographs

(2020) Tsubasa Mawatari et al.   EUROPEAN JOURNAL OF RADIOLOGY

Opportunistic osteoporosis screening in multi-detector CT images using deep convolutional neural networks

(2020) Yijie Fang et al.   EUROPEAN RADIOLOGY

The Case for Algorithmic Stewardship for Artificial Intelligence and Machine Learning Technologies

(2020) Stephanie Eaneff et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Deep Learning With Electronic Health Records for Short-Term Fracture Risk Identification: Crystal Bone Algorithm Development and Validation

(2020) Yasmeen Adar Almog et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist

(2020) Beau Norgeot et al.   NATURE MEDICINE

FRAX: re-adjust or re-think

(2020) Yasser El Miedany   Archives of Osteoporosis

Application of machine learning approaches for osteoporosis risk prediction in postmenopausal women

(2020) Jae-Geum Shim et al.   Archives of Osteoporosis

Artificial intelligence for the detection of vertebral fractures on plain spinal radiography

(2020) Kazuma Murata et al.   Scientific Reports

A Human-Algorithm Integration System for Hip Fracture Detection on Plain Radiography: System Development and Validation Study

(2020) Chi-Tung Cheng et al.   JMIR Medical Informatics

Opportunistic osteoporosis screening in multi-detector CT images via local classification of textures

(2019) A. Valentinitsch et al.   OSTEOPOROSIS INTERNATIONAL

Discovery of potential biomarkers for osteoporosis using LC-MS/MS metabolomic methods

(2019) J. Wang et al.   OSTEOPOROSIS INTERNATIONAL

Application of a deep learning algorithm for detection and visualization of hip fractures on plain pelvic radiographs

(2019) Chi-Tung Cheng et al.   EUROPEAN RADIOLOGY

Computer-Aided Detection of Incidental Lumbar Spine Fractures from Routine Dual-Energy X-Ray Absorptiometry (DEXA) Studies Using a Support Vector Machine (SVM) Classifier

(2019) Samir D. Mehta et al.   JOURNAL OF DIGITAL IMAGING

Reporting of artificial intelligence prediction models

(2019) Gary S Collins et al.   LANCET

End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography

(2019) Diego Ardila et al.   NATURE MEDICINE

Machine Learning in Medicine

(2019) Alvin Rajkomar et al.   NEW ENGLAND JOURNAL OF MEDICINE

Simulating Dual-Energy X-Ray Absorptiometry in CT Using Deep-Learning Segmentation Cascade

(2019) Arun Krishnaraj et al.   Journal of the American College of Radiology

Artificial Intelligence in Musculoskeletal Imaging: Current Status and Future Directions

(2019) Soterios Gyftopoulos et al.   AMERICAN JOURNAL OF ROENTGENOLOGY

Hip Fracture Discrimination Based on Statistical Multi-parametric Modeling (SMPM)

(2019) Julio Carballido-Gamio et al.   ANNALS OF BIOMEDICAL ENGINEERING

Artificial intelligence, osteoporosis and fragility fractures

(2019) Uran Ferizi et al.   CURRENT OPINION IN RHEUMATOLOGY

Artificial neural network optimizes self-examination of osteoporosis risk in women

(2019) Jia Meng et al.   JOURNAL OF INTERNATIONAL MEDICAL RESEARCH

Direct automated quantitative measurement of spine by cascade amplifier regression network with manifold regularization

(2019) Shumao Pang et al.   MEDICAL IMAGE ANALYSIS

The use and performance of artificial intelligence applications in dental and maxillofacial radiology: A systematic review

(2019) Kuofeng Hung et al.   DENTOMAXILLOFACIAL RADIOLOGY

Artificial Intelligence in Musculoskeletal Imaging: A Paradigm Shift

(2019) Joseph E Burns et al.   JOURNAL OF BONE AND MINERAL RESEARCH

Prediction of lumbar vertebral strength of elderly men based on quantitative computed tomography images using machine learning

(2019) M. Zhang et al.   OSTEOPOROSIS INTERNATIONAL

Identification of Vertebral Fractures by Convolutional Neural Networks to Predict Nonvertebral and Hip Fractures: A Registry-based Cohort Study of Dual X-ray Absorptiometry

(2019) Sheldon Derkatch et al.   RADIOLOGY

Detection and localisation of hip fractures on anteroposterior radiographs with artificial intelligence: proof of concept

(2019) J.S. Yu et al.   CLINICAL RADIOLOGY

Evaluation of hip fracture risk using a hyper-parametric model based on the Locally Linear Embedding technique

(2019) Enrique Nadal et al.   COMPTES RENDUS MECANIQUE

Artificial neural network to estimate micro-architectural properties of cortical bone using ultrasonic attenuation: A 2-D numerical study

(2019) Kaustav Mohanty et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

(2019) Ramprasaath R. Selvaraju et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Potential Liability for Physicians Using Artificial Intelligence

(2019) W. Nicholson Price et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

How to Read Articles That Use Machine Learning

(2019) Yun Liu et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

The exploration of feature extraction and machine learning for predicting bone density from simple spine X-ray images in a Korean population

(2019) Sangwoo Lee et al.   SKELETAL RADIOLOGY

Lifecycle Regulation of Artificial Intelligence– and Machine Learning–Based Software Devices in Medicine

(2019) Thomas J. Hwang et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Unsupervised machine learning for the discovery of latent disease clusters and patient subgroups using electronic health records

(2019) Yanshan Wang et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Diagnostic and Gradation Model of Osteoporosis Based on Improved Deep U-Net Network

(2019) Jian Liu et al.   JOURNAL OF MEDICAL SYSTEMS

Automated detection and classification of the proximal humerus fracture by using deep learning algorithm

(2018) Seok Won Chung et al.   Acta Orthopaedica

Artificial intelligence on the identification of risk groups for osteoporosis, a general review

(2018) Agnaldo S. Cruz et al.   Biomedical Engineering Online

Artificial intelligence in fracture detection: transfer learning from deep convolutional neural networks

(2018) D.H. Kim et al.   CLINICAL RADIOLOGY

Deep neural networks for automatic detection of osteoporotic vertebral fractures on CT scans

(2018) Naofumi Tomita et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Osteoporosis detection in panoramic radiographs using a deep convolutional neural network-based computer-assisted diagnosis system: a preliminary study

(2018) Jae-Seo Lee et al.   DENTOMAXILLOFACIAL RADIOLOGY

Automated system for the detection of thoracolumbar fractures using a CNN architecture

(2018) U. Raghavendra et al.   Future Generation Computer Systems-The International Journal of eScience

Evaluation of low bone mass and prediction of fracture risk using metacarpal radiogrammetry method: a comparative study with DXA and X-ray phantom

(2018) Devaraj Ashok Kumar et al.   International Journal of Rheumatic Diseases

Big Data and Machine Learning in Health Care

(2018) Andrew L. Beam et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Detecting intertrochanteric hip fractures with orthopedist-level accuracy using a deep convolutional neural network

(2018) Takaaki Urakawa et al.   SKELETAL RADIOLOGY

Design of a Clinical Decision Support System for Fracture Prediction Using Imbalanced Dataset

(2018) Yung-Fu Chen et al.   Journal of Healthcare Engineering

A New Ensemble Classification System For Fracture Zone Prediction Using Imbalanced Micro-CT Bone Morphometrical Data

(2018) Vasileios Ch. Korfiatis et al.   IEEE Journal of Biomedical and Health Informatics

The New Possibilities from “Big Data” to Overlooked Associations Between Diabetes, Biochemical Parameters, Glucose Control, and Osteoporosis

(2018) Christian Kruse   Current Osteoporosis Reports

A Novel Morphological Analysis of DXA-DICOM Images by Artificial Neural Networks for Estimating Bone Mineral Density in Health and Disease

(2018) Ehab I. Mohamed et al.   JOURNAL OF CLINICAL DENSITOMETRY

Artificial Intelligence Applied to Osteoporosis: A Performance Comparison of Machine Learning Algorithms in Predicting Fragility Fractures From MRI Data

(2018) Uran Ferizi et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Combining information from multiple bone turnover markers as diagnostic indices for osteoporosis using support vector machines

(2018) Tianxiao Zhang et al.   BIOMARKERS

Vertebral body insufficiency fractures: detection of vertebrae at risk on standard CT images using texture analysis and machine learning

(2018) Urs J. Muehlematter et al.   EUROPEAN RADIOLOGY

Computer vs human: Deep learning versus perceptual training for the detection of neck of femur fractures

(2018) Matthew Adams et al.   Journal of Medical Imaging and Radiation Oncology

The Artificial Intelligence Clinician learns optimal treatment strategies for sepsis in intensive care

(2018) Matthieu Komorowski et al.   NATURE MEDICINE

Deep neural network improves fracture detection by clinicians

(2018) Robert Lindsey et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Can low-frequency guided waves at the tibia paired with machine learning differentiate between healthy and osteopenic/osteoporotic subjects? A pilot study

(2018) Florian Vogl et al.   ULTRASONICS

Anisotropic Discrete Dual-Tree Wavelet Transform for Improved Classification of Trabecular Bone

(2017) Hind Oulhaj et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

A novel data preprocessing method for boosting neural network performance: A case study in osteoporosis prediction

(2017) Theodoros Iliou et al.   INFORMATION SCIENCES

Discrimination and Calibration of Clinical Prediction Models

(2017) Ana Carolina Alba et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Use of Trabecular Bone Score (TBS) as a Complementary Approach to Dual-energy X-ray Absorptiometry (DXA) for Fracture Risk Assessment in Clinical Practice

(2017) Enisa Shevroja et al.   JOURNAL OF CLINICAL DENSITOMETRY

A survey on deep learning in medical image analysis

(2017) Geert Litjens et al.   MEDICAL IMAGE ANALYSIS

Dermatologist-level classification of skin cancer with deep neural networks

(2017) Andre Esteva et al.   NATURE

Early diagnosis of osteoporosis using radiogrammetry and texture analysis from hand and wrist radiographs in Indian population

(2017) A. S. Areeckal et al.   OSTEOPOROSIS INTERNATIONAL

Vertebral Body Compression Fractures and Bone Density: Automated Detection and Classification on CT Images

(2017) Joseph E. Burns et al.   RADIOLOGY

Can machine-learning improve cardiovascular risk prediction using routine clinical data?

(2017) Stephen F. Weng et al.   PLoS One

A Survey of Predictive Modeling on Imbalanced Domains

(2016) Paula Branco et al.   ACM COMPUTING SURVEYS

Shape, texture and statistical features for classification of benign and malignant vertebral compression fractures in magnetic resonance images

(2016) Lucas Frighetto-Pereira et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Automatic detection of osteoporosis based on hybrid genetic swarm fuzzy classifier approaches

(2016) Muthu Subash Kavitha et al.   DENTOMAXILLOFACIAL RADIOLOGY

Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs

(2016) Varun Gulshan et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Segmentation of joint and musculoskeletal tissue in the study of arthritis

(2016) Valentina Pedoia et al.   MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE

Model selection and overfitting

(2016) Jake Lever et al.   NATURE METHODS

Clinical fracture risk evaluated by hierarchical agglomerative clustering

(2016) C. Kruse et al.   OSTEOPOROSIS INTERNATIONAL

The accuracy of osteoporotic fracture risk prediction tools: a systematic review and meta-analysis

(2015) Andréa Marques et al.   ANNALS OF THE RHEUMATIC DISEASES

Evaluating Discrimination of Risk Prediction Models

(2015) Michael J. Pencina et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Fusion of clinical and stochastic finite element data for hip fracture risk prediction

(2015) Peng Jiang et al.   JOURNAL OF BIOMECHANICS

The precision–recall curve overcame the optimism of the receiver operating characteristic curve in rare diseases

(2015) Brice Ozenne et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY

Automatic Estimation of Osteoporotic Fracture Cases by Using Ensemble Learning Approaches

(2015) Niyazi Kilic et al.   JOURNAL OF MEDICAL SYSTEMS

Deep learning

(2015) Yann LeCun et al.   NATURE

Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement

(2015) G. S. Collins et al.   BMJ-British Medical Journal

Texture analysis of mandibular cortical bone on digital dental panoramic radiographs for the diagnosis of osteoporosis in Korean women

(2015) Muthu Subash Kavitha et al.   Oral Surgery Oral Medicine Oral Pathology Oral Radiology

Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement

(2015) G. S. Collins et al.   BMJ-British Medical Journal

The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration

(2009) Alessandro Liberati et al.   PLOS MEDICINE

The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies

(2008) Erik von Elm et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY