Deep Learning and Imaging for the Orthopaedic Surgeon

An algorithmic approach to reducing unexplained pain disparities in underserved populations

(2021) Emma Pierson et al.   NATURE MEDICINE

Deep Learning Artificial Intelligence Model for Assessment of Hip Dislocation Risk Following Primary Total Hip Arthroplasty From Postoperative Radiographs

(2021) Pouria Rouzrokh et al.   JOURNAL OF ARTHROPLASTY

Application of deep learning algorithm to detect and visualize vertebral fractures on plain frontal radiographs

(2021) Hsuan-Yu Chen et al.   PLoS One

Deep learning for accurately recognizing common causes of shoulder pain on radiographs

(2021) Nils F. Grauhan et al.   SKELETAL RADIOLOGY

Multitask Deep Learning for Segmentation and Classification of Primary Bone Tumors on Radiographs

(2021) Claudio E. von Schacky et al.   RADIOLOGY

Automated bone mineral density prediction and fracture risk assessment using plain radiographs via deep learning

(2021) Chen-I Hsieh et al.   Nature Communications

Deep Learning Measurement of Leg Length Discrepancy in Children Based on Radiographs

(2020) Qiang Zheng et al.   RADIOLOGY

Deep Learning Predicts Total Knee Replacement from Magnetic Resonance Images

(2020) Aniket A. Tolpadi et al.   Scientific Reports

Incremental inputs improve the automated detection of implant loosening using machine-learning algorithms

(2020) Romil F. Shah et al.   Bone & Joint Journal

Artificial Intelligence to Identify Arthroplasty Implants from Radiographs of the Knee

(2020) Jaret M. Karnuta et al.   JOURNAL OF ARTHROPLASTY

Deep learning system for Meyerding classification and segmental motion measurement in diagnosis of lumbar spondylolisthesis

(2020) Thong Phi Nguyen et al.   Biomedical Signal Processing and Control

Artificial Intelligence to Identify Arthroplasty Implants From Radiographs of the Hip

(2020) Jaret M. Karnuta et al.   JOURNAL OF ARTHROPLASTY

Cobb Angle Measurement of Spine from X-Ray Images Using Convolutional Neural Network

(2019) Ming-Huwi Horng et al.   Computational and Mathematical Methods in Medicine

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

Ankle Fracture Detection Utilizing a Convolutional Neural Network Ensemble Implemented with a Small Sample, De Novo Training, and Multiview Incorporation

(2019) Gene Kitamura et al.   JOURNAL OF DIGITAL IMAGING

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

(2018) Seok Won Chung et al.   Acta Orthopaedica

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

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

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

(2018) Takaaki Urakawa et al.   SKELETAL RADIOLOGY

Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach

(2018) Aleksei Tiulpin et al.   Scientific Reports

Deep Learning Approach for Evaluating Knee MR Images: Achieving High Diagnostic Performance for Cartilage Lesion Detection

(2018) Fang Liu et al.   RADIOLOGY

Applying Densely Connected Convolutional Neural Networks for Staging Osteoarthritis Severity from Plain Radiographs

(2018) Berk Norman et al.   JOURNAL OF DIGITAL IMAGING

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

The RSNA Pediatric Bone Age Machine Learning Challenge

(2018) Safwan S. Halabi et al.   RADIOLOGY

Deep Neural Nets as a Method for Quantitative Structure–Activity Relationships

(2015) Junshui Ma et al.   Journal of Chemical Information and Modeling

Deep learning

(2015) Yann LeCun et al.   NATURE

Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations

(2015) Daniel J. Fagnant et al.   TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE

Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups

(2012) Geoffrey Hinton et al.   IEEE SIGNAL PROCESSING MAGAZINE

Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition

(2011) G. E. Dahl et al.   IEEE Transactions on Audio Speech and Language Processing