Zobrazeno 1 - 10
of 84
pro vyhledávání: '"Zhewei, Ye"'
Autor:
Zewen Shi, Fang Yang, Tianyu Du, Qian Pang, Chen Liu, Yiwei Hu, Weilai Zhu, Xianjun Chen, Zeming Chen, Baiyang Song, Xueqiang Yu, Zhewei Ye, Lin Shi, Yabin Zhu, Qingjiang Pang
Publikováno v:
Materials Today Bio, Vol 28, Iss , Pp 101234- (2024)
Magnesium (Mg)-based scaffolds are garnering increasing attention as bone repair materials owing to their biodegradability and mechanical resemblance to natural bone. Their effectiveness can be augmented by incorporating surface coatings to meet clin
Externí odkaz:
https://doaj.org/article/eedbc2ee174147f5acf445f9f2f85abe
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:
Yanzhen Qu, Xudong Xie, Wu Zhou, Tian Xia, Faqi Cao, Bobin Mi, Yuan Xiong, Zhewei Ye, Guohui Liu
Publikováno v:
BMC Musculoskeletal Disorders, Vol 23, Iss 1, Pp 1-7 (2022)
Abstract Background We aimed to compare the intraoperative and early postoperative clinical outcomes of using an acromioclavicular joint hook plate (AJHP) versus a locking plate (LP) in the treatment of anterior sternoclavicular joint dislocation. Me
Externí odkaz:
https://doaj.org/article/ac1631e9ddf34745ae484782d273b510
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:
Pengran Liu, Lin Lu, Yufei Chen, Tongtong Huo, Mingdi Xue, Honglin Wang, Ying Fang, Yi Xie, Mao Xie, Zhewei Ye
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 10 (2022)
Objective: To explore a new artificial intelligence (AI)-aided method to assist the clinical diagnosis of femoral intertrochanteric fracture (FIF), and further compare the performance with human level to confirm the effect and feasibility of the AI a
Externí odkaz:
https://doaj.org/article/6e14dc5262e54ed3a458c1380f399c00
Autor:
Yiwei Yang, Hongwu Zhu, Dongsheng He, Changcheng Du, Liangbin Xu, Yufa He, Yan Zheng, Zhewei Ye
Publikováno v:
Energy Science & Engineering, Vol 8, Iss 4, Pp 1337-1352 (2020)
Abstract Intelligent wells equipped with the interval control valve (ICV), which have the potential applications to significantly improve oil production or control the water production of wells and fields, are more and more widely utilized in the oil
Externí odkaz:
https://doaj.org/article/4cec5837919a4d91a02f30cc11a45ff1
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