Deep Convolutional Neural Networks as a Diagnostic Aid—A Step Toward Minimizing Undetected Scaphoid Fractures on Initial Hand Radiographs-Reference-Cited by-同舟云学术

Deep Convolutional Neural Networks as a Diagnostic Aid—A Step Toward Minimizing Undetected Scaphoid Fractures on Initial Hand Radiographs

Published:2021-05-06 Issue:5 Volume:4 Page:e216393
ISSN:2574-3805
Container-title:JAMA Network Open
language:en
Short-container-title:JAMA Netw Open

Author:

Jopling Jeffrey K.¹,Pridgen Brian C.²,Yeung Serena³

Affiliation:

1. Section of Trauma, Surgical Critical Care and Acute Care Surgery, Department of Surgery, Stanford University School of Medicine, Stanford, California

2. The Buncke Clinic, San Francisco, California

3. Department of Biomedical Data Science, Stanford University, Stanford, California

Publisher

American Medical Association (AMA)

Subject

General Medicine

Link

https://jamanetwork.com/journals/jamanetworkopen/articlepdf/2779580/jopling_2021_ic_210071_1619637771.87398.pdf

Reference6 articles.

1. Controversies and best practices for acute scaphoid fracture management.;Suh;J Hand Surg Eur Vol,2018

2. Development and validation of a deep learning model using convolutional neural networks to identify scaphoid fractures in radiographs.;Yoon;JAMA Netw Open,2021

3. Human-machine collaboration in cancer and beyond: the Centaur Care model.;Goldstein;JAMA Oncol,2017

4. Deep neural network improves fracture detection by clinicians.;Lindsey;Proc Natl Acad Sci U S A,2018

5. Evaluation of an artificial intelligence system for diagnosing scaphoid fracture on direct radiography.;Ozkaya;Eur J Trauma Emerg Surg,2020

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1. Application of Artificial Intelligence and Machine Learning in Diagnosing Scaphoid Fractures: A Systematic Review;Cureus;2023-10-26

2. Automatic detection of early osteonecrosis of the femoral head from various hip pathologies using deep convolutional neural network: a multi-centre study;International Orthopaedics;2023-04-28