Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Songxiang Liu"'
Autor:
Honglin Wang, Lin Lu, Pengran Liu, Jiayao Zhang, Songxiang Liu, Yi Xie, Tongtong Huo, Hong Zhou, Mingdi Xue, Ying Fang, Jiaming Yang, Zhewei Ye
Publikováno v:
Intelligent Medicine, Vol 4, Iss 1, Pp 16-21 (2024)
Millimeter waves are electromagnetic waves with wavelengths of 1–10 mm, which have characteristics of high frequency and short wavelength. They have gradually and widely been used in engineering and medical fields. We have identified studies relate
Externí odkaz:
https://doaj.org/article/db896a21c0b24205afd8e65cc4154258
Autor:
Tongtong Huo, Lixin Li, Xiting Chen, Ziyi Wang, Xiaojun Zhang, Songxiang Liu, Jinfa Huang, Jiayao Zhang, Qian Yang, Wei Wu, Yi Xie, Honglin Wang, Zhewei Ye, Kaixian Deng
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract We explored a new artificial intelligence-assisted method to assist junior ultrasonographers in improving the diagnostic performance of uterine fibroids and further compared it with senior ultrasonographers to confirm the effectiveness and f
Externí odkaz:
https://doaj.org/article/944d327799db4469ab5922796d1fbf7a
Autor:
Jiayao Zhang, Zhimin Li, Heng Lin, Mingdi Xue, Honglin Wang, Ying Fang, Songxiang Liu, Tongtong Huo, Hong Zhou, Jiaming Yang, Yi Xie, Mao Xie, Lin Lu, Pengran Liu, Zhewei Ye
Publikováno v:
Frontiers in Medicine, Vol 10 (2023)
ObjectivesTo explore an intelligent detection technology based on deep learning algorithms to assist the clinical diagnosis of distal radius fractures (DRFs), and further compare it with human performance to verify the feasibility of this method.Meth
Externí odkaz:
https://doaj.org/article/cace3aa2e79e44bc8e5a7915978c912b
Autor:
Jiayao Zhang, Heng Lin, Honglin Wang, Mingdi Xue, Ying Fang, Songxiang Liu, Tongtong Huo, Hong Zhou, Jiaming Yang, Yi Xie, Mao Xie, Liangli Cheng, Lin Lu, Pengran Liu, Zhewei Ye
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 11 (2023)
Objective: Explore a new deep learning (DL) object detection algorithm for clinical auxiliary diagnosis of lumbar spondylolisthesis and compare it with doctors’ evaluation to verify the effectiveness and feasibility of the DL algorithm in the diagn
Externí odkaz:
https://doaj.org/article/652548e9ab9340328b847ed4d67d3afd
Autor:
Tongtong Huo, Yi Xie, Ying Fang, Ziyi Wang, Pengran Liu, Yuyu Duan, Jiayao Zhang, Honglin Wang, Mingdi Xue, Songxiang Liu, Zhewei Ye
Publikováno v:
Frontiers in Oncology, Vol 13 (2023)
PurposeTo develop and assess a deep convolutional neural network (DCNN) model for the automatic detection of bone metastases from lung cancer on computed tomography (CT)MethodsIn this retrospective study, CT scans acquired from a single institution f
Externí odkaz:
https://doaj.org/article/3be51f2ec5d44a9cbaa6fb82a38e5276
Autor:
Lin Lu, Honglin Wang, Pengran Liu, Rong Liu, Jiayao Zhang, Yi Xie, Songxiang Liu, Tongtong Huo, Mao Xie, Xinghuo Wu, Zhewei Ye
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 10 (2022)
Objective: The aim of this study is to explore the potential of mixed reality (MR) technology in the visualization of orthopedic surgery.Methods: The visualization system with MR technology is widely used in orthopedic surgery. The system is composed
Externí odkaz:
https://doaj.org/article/b6884e99ff48417fba067808e15e7a78
Autor:
Lin Lu, Aoshuang Xu, Fei Gao, Chenjun Tian, Honglin Wang, Jiayao Zhang, Yi Xie, Pengran Liu, Songxiang Liu, Cao Yang, Zhewei Ye, Xinghuo Wu
Publikováno v:
Frontiers in Cell and Developmental Biology, Vol 9 (2022)
Intervertebral disc degeneration (IVDD) has been reported to be the most prevalent contributor to low back pain, posing a significant strain on the healthcare systems on a global scale. Currently, there are no approved therapies available for the pre
Externí odkaz:
https://doaj.org/article/2bb289b236fc4b41ad4d92e37ded3aaa
Autor:
Pengran Liu, Lin Lu, Songxiang Liu, Mao Xie, Jiayao Zhang, Tongtong Huo, Yi Xie, Honglin Wang, Yuyu Duan, Yu Hu, Zhewei Ye
Publikováno v:
Intelligent Medicine, Vol 1, Iss 1, Pp 16-18 (2021)
Coronavirus disease 2019 (COVID-19) made a huge effect globally. With the assistance of mixed reality (MR) technology, complicated clinical works became easier to carry out and the condition had been greatly improved with high-tech advantages such as
Externí odkaz:
https://doaj.org/article/9bfab60d21fc4ad89eb4e8585e2f9020
Autor:
Yi Xie, Jiayao Zhang, Honglin Wang, Pengran Liu, Songxiang Liu, Tongtong Huo, Yu-Yu Duan, Zhe Dong, Lin Lu, Zhewei Ye
Publikováno v:
Journal of Medical Internet Research, Vol 23, Iss 10, p e28613 (2021)
BackgroundAs a distributed technology, blockchain has attracted increasing attention from stakeholders in the medical industry. Although previous studies have analyzed blockchain applications from the perspectives of technology, business, or patient
Externí odkaz:
https://doaj.org/article/a3cd1facd01f4f328f1798ac879ec9ec
Autor:
Songxiang Liu, Mao Xie, Zhicai Zhang, Xinghuo Wu, Fei Gao, Lin Lu, Jiayao Zhang, Yi Xie, Fan Yang, Zhewei Ye
Publikováno v:
Journal of Medical Internet Research, Vol 23, Iss 9, p e24081 (2021)
BackgroundThe COVID-19 outbreak has now become a pandemic and has had a serious adverse impact on global public health. The effect of COVID-19 on the lungs can be determined through 2D computed tomography (CT) imaging, which requires a high level of
Externí odkaz:
https://doaj.org/article/5d6a4bcee47a4f9d9d28eaf3c1a1c7f3