Application and Prospects of Deep Learning Technology in Fracture Diagnosis - Details

author：

Indexed by：

Scopus

Abstract：

Artificial　intelligence　(AI)　is　an　interdisciplinary　field　that　combines　computer　technology,　mathematics,　and　several　other　fields.　Recently,　with　the　rapid　development　of　machine　learning　(ML)　and　deep　learning　(DL),　significant　progress　has　been　made　in　the　field　of　AI.　As　one　of　the　fastest-growing　branches,　DL　can　effectively　extract　features　from　big　data　and　optimize　the　performance　of　various　tasks.　Moreover,　with　advancements　in　digital　imaging　technology,　DL　has　become　a　key　tool　for　processing　high-dimensional　medical　image　data　and　conducting　medical　image　analysis　in　clinical　applications.　With　the　development　of　this　technology,　the　diagnosis　of　orthopedic　diseases　has　undergone　significant　changes.　In　this　review,　we　describe　recent　research　progress　on　DL　in　fracture　diagnosis　and　discuss　the　value　of　DL　in　this　field,　providing　a　reference　for　better　integration　and　development　of　DL　technology　in　orthopedics.　©　Huazhong　University　of　Science　and　Technology　2024.

Keyword：

artificial intelligence deep learning diagnosis fracture medical image analysis orthopedics

Community：

[ 1 ] [Zhang J.-Y.]Department of Orthopedics, Fuzhou University Affiliated Provincial Hospital, Fuzhou, 350013, China
[ 2 ] [Zhang J.-Y.]Department of Orthopedics, Fujian Provincial Hospital, Fuzhou, 350013, China
[ 3 ] [Zhang J.-Y.]Intelligent Medical Laboratory, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
[ 4 ] [Yang J.-M.]Intelligent Medical Laboratory, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
[ 5 ] [Yang J.-M.]Department of Orthopedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
[ 6 ] [Wang X.-M.]Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Dali University, Dali, 671000, China
[ 7 ] [Wang H.-L.]Intelligent Medical Laboratory, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
[ 8 ] [Wang H.-L.]Department of Orthopedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
[ 9 ] [Zhou H.]Intelligent Medical Laboratory, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
[ 10 ] [Zhou H.]Department of Orthopedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
[ 11 ] [Yan Z.-N.]Intelligent Medical Laboratory, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
[ 12 ] [Yan Z.-N.]Department of Orthopedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
[ 13 ] [Xie Y.]Intelligent Medical Laboratory, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
[ 14 ] [Xie Y.]Department of Orthopedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
[ 15 ] [Liu P.-R.]Intelligent Medical Laboratory, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
[ 16 ] [Liu P.-R.]Department of Orthopedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
[ 17 ] [Hao Z.-W.]School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, 430074, China
[ 18 ] [Ye Z.-W.]Intelligent Medical Laboratory, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
[ 19 ] [Ye Z.-W.]Department of Orthopedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China

Reprint 's Address：

Email：

Show more details

Related Keywords：

Application and Prospects of Deep Learning Technology in Fracture Diagnosis
2024，CURRENT MEDICAL SCIENCE
Editorial: Artificial Intelligence for Medical Image Analysis of Neuroimaging Data
2020，FRONTIERS IN NEUROSCIENCE
Editorial: Investigating tumor immunotherapy responses in lung cancer using deep learning
2024，FRONTIERS IN IMMUNOLOGY
Deep learning with microfluidics for on-chip droplet generation, control, and analysis
2023，FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
A deep learning approach to automate whole-genome prediction of diverse epigenomic modifications in plants
2021，NEW PHYTOLOGIST

Source ：

Current Medical Science

ISSN： 2096-5230

Year： 2024

2 . 0 0 0

JCR@2023

Cited Count：

WoS CC Cited Count：

SCOPUS Cited Count：

ESI Highly Cited Papers on the List： 0 Unfold All

WanFang Cited Count：

Chinese Cited Count：

30 Days PV： 3

Affiliated Colleges：

Get Fulltext

DOI Library Discovery Baidu Scholar Search SCOPUS

Type
Departments

All Years Choose Year From to