Artificial intelligence system can achieve comparable results to experts for bone age assessment of Chinese children with abnormal growth and development

Is the Greulich and Pyle atlas applicable to all ethnicities? A systematic review and meta-analysis

(2019) Khalaf Alshamrani et al.   EUROPEAN RADIOLOGY

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

Incorporated region detection and classification using deep convolutional networks for bone age assessment

(2019) Toan Duc Bui et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Performance of a Deep-Learning Neural Network Model in Assessing Skeletal Maturity on Pediatric Hand Radiographs

(2018) David B. Larson et al.   RADIOLOGY

Evaluation of a Computer-Aided Diagnosis System for Automated Bone Age Assessment in Comparison to the Greulich-Pyle Atlas Method

(2018) Christian Booz et al.   JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY

Artificial intelligence-assisted interpretation of bone age radiographs improves accuracy and decreases variability

(2018) Shahein H. Tajmir et al.   SKELETAL RADIOLOGY

The RSNA Pediatric Bone Age Machine Learning Challenge

(2018) Safwan S. Halabi et al.   RADIOLOGY

What Can We Learn from the RSNA Pediatric Bone Age Machine Learning Challenge?

(2018) Eliot L. Siegel   RADIOLOGY

Deep learning for automated skeletal bone age assessment in X-ray images

(2017) C. Spampinato et al.   MEDICAL IMAGE ANALYSIS

Dermatologist-level classification of skin cancer with deep neural networks

(2017) Andre Esteva et al.   NATURE

Bone Age: A Handy Tool for Pediatric Providers

(2017) Ana L. Creo et al.   PEDIATRICS

Skeletal development of the hand and wrist: digital bone age companion—a suitable alternative to the Greulich and Pyle atlas for bone age assessment?

(2017) Paul M. Bunch et al.   SKELETAL RADIOLOGY

Automated determination of bone age from hand X-rays at the end of puberty and its applicability for age estimation

(2016) Hans Henrik Thodberg et al.   INTERNATIONAL JOURNAL OF LEGAL MEDICINE

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

Bone age assessment: automated techniques coming of age?

(2013) RR van Rijn et al.   ACTA RADIOLOGICA

Skeletal age in idiopathic short stature: An analytical study by the TW3 method, Greulich and Pyle method

(2010) Ashok Shyam et al.   Indian Journal of Orthopaedics

Automatic bone age assessment based on intelligent algorithms and comparison with TW3 method

(2008) Jian Liu et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS