Development and external validation of automated detection, classification, and localization of ankle fractures: inside the black box of a convolutional neural network (CNN)

Automatic opportunistic osteoporosis screening in routine CT: improved prediction of patients with prevalent vertebral fractures compared to DXA

(2021) Maximilian T. Löffler et al.   EUROPEAN RADIOLOGY

Presenting artificial intelligence, deep learning, and machine learning studies to clinicians and healthcare stakeholders: an introductory reference with a guideline and a Clinical AI Research (CAIR) checklist proposal

(2021) Jakub Olczak et al.   Acta Orthopaedica

Artificial Intelligence and Orthopaedics

(2020) Thomas G. Myers et al.   JOURNAL OF BONE AND JOINT SURGERY-AMERICAN VOLUME

Convolutional Neural Network for Second Metacarpal Radiographic Osteoporosis Screening

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

Is Deep Learning On Par with Human Observers for Detection of Radiographically Visible and Occult Fractures of the Scaphoid?

(2020) David W. G. Langerhuizen et al.   CLINICAL ORTHOPAEDICS AND RELATED RESEARCH

Semantic segmentation of the multiform proximal femur and femoral head bones with the deep convolutional neural networks in low quality MRI sections acquired in different MRI protocols

(2020) Abbas Memiş et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Detection and localization of distal radius fractures: Deep learning system versus radiologists

(2020) Christian Blüthgen et al.   EUROPEAN JOURNAL OF RADIOLOGY

Automated classification of hip fractures using deep convolutional neural networks with orthopedic surgeon-level accuracy: ensemble decision-making with antero-posterior and lateral radiographs

(2020) Yutoku Yamada et al.   Acta Orthopaedica

Classification of femur fracture in pelvic X-ray images using meta-learned deep neural network

(2020) Changhwan Lee et al.   Scientific Reports

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

(2020) Beau Norgeot et al.   NATURE MEDICINE

Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension

(2020) Xiaoxuan Liu et al.   NATURE MEDICINE

Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension

(2020) Samantha Cruz Rivera et al.   NATURE MEDICINE

Artificial intelligence in orthopaedics: false hope or not? A narrative review along the line of Gartner’s hype cycle

(2020) Jacobien H.F. Oosterhoff et al.   EFORT Open Reviews

Deep-learning-assisted detection and segmentation of rib fractures from CT scans: Development and validation of FracNet

(2020) Liang Jin et al.   EBioMedicine

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

Using a Dual-Input Convolutional Neural Network for Automated Detection of Pediatric Supracondylar Fracture on Conventional Radiography

(2019) Jae Won Choi et al.   INVESTIGATIVE RADIOLOGY

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

(2018) Seok Won Chung et al.   Acta Orthopaedica

Introduction

(2018) James F. Kellam et al.   JOURNAL OF ORTHOPAEDIC TRAUMA

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

(2018) Takaaki Urakawa et al.   SKELETAL 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

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

Segmentation of the Proximal Femur from MR Images using Deep Convolutional Neural Networks

(2018) Cem M. Deniz et al.   Scientific Reports

Interobserver reliability of the Schatzker and Luo classification systems for tibial plateau fractures

(2016) Jos J. Mellema et al.   INJURY-INTERNATIONAL JOURNAL OF THE CARE OF THE INJURED

Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research: A Multidisciplinary View

(2016) Wei Luo et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Tibial Plateau Fracture Characteristics

(2016) Jos J. Mellema et al.   JOURNAL OF ORTHOPAEDIC TRAUMA

Evaluating the Reliability and Reproducibility of the AO and Lauge-Hansen Classification Systems for Ankle Injuries

(2015) Meng-chen Yin et al.   ORTHOPEDICS