Detecting Distal Radius Fractures Using a Segmentation-Based Deep Learning Model

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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 detection of distal radius fractures: a comparison between the convolutional neural network and professional assessments

(2019) Kaifeng Gan et al.   Acta Orthopaedica

Evaluation of a computer-aided method for measuring the Cobb angle on chest X-rays

(2019) Yaling Pan et al.   EUROPEAN SPINE JOURNAL

Patient injury claims involving fractures of the distal radius

(2018) Henrik Sandelin 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

A guide to deep learning in healthcare

(2018) Andre Esteva 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

Epidemiology of extremity fractures in the Netherlands

(2017) M.S.H. Beerekamp et al.   INJURY-INTERNATIONAL JOURNAL OF THE CARE OF THE INJURED

Easily Missed Fractures of the Upper Extremity

(2015) Scott Tyson et al.   RADIOLOGIC CLINICS OF NORTH AMERICA

Overcrowding in emergency department: an international issue

(2014) Salvatore Di Somma et al.   Internal and Emergency Medicine