Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Ruijian Yan"'
Publikováno v:
Orthopaedic Surgery, Vol 14, Iss 10, Pp 2580-2590 (2022)
Objective This study is aimed to investigate the clinical outcomes of a novel SSPS for fixation of the comminuted coronoid fracture. Methods A retrospective study was carried out in the patients with comminuted fractures of the coronoid treated by SP
Externí odkaz:
https://doaj.org/article/f0d1e98c02ce4549b38a3a4b348e7ea4
Publikováno v:
Orthopaedic Surgery, Vol 14, Iss 3, Pp 501-512 (2022)
Objective To tackle the challengeable dilemma of delayed femoral fracture, a technique of fixator‐assisted closed reduction and intramedullary nailing at one stage was introduced herein and its clinical results were investigated. Methods A retrospe
Externí odkaz:
https://doaj.org/article/042ba44d77174a7cab67d094beb1b507
Autor:
Jie Xia, Jiadong Pan, Ruijian Yan, Fan Zhang, Luxi Zhang, Gang Feng, Jack Luo, Shurong Dong, Yueming Wang
Publikováno v:
Frontiers in Physics, Vol 10 (2022)
In the medical field, it is important to monitor and evaluate the blood supply status of organs and tissues during the clinical surgery. However, this largely depends on the surgeon’s experience and naked eye, which is easy to misjudge due to the i
Externí odkaz:
https://doaj.org/article/feecc9dc6c454806a8fb10967cc2545c
Autor:
Jinwei Lu, Xiaohui Yang, Chaofan He, Yazhou Chen, Congsun Li, Sihao Li, Yuewei Chen, Yifan Wu, Zhihui Xiang, Jiawei Kang, Guangyao Jiang, Cong Wang, Mohamed Diaty Diarra, Rongxin He, Gang Feng, Ruijian Yan
Publikováno v:
Acta Biomaterialia. 161:80-99
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::805843cdbf23c3c00788d9ad76134a7a
https://doi.org/10.1016/j.actbio.2023.02.018
https://doi.org/10.1016/j.actbio.2023.02.018
Publikováno v:
Sensors, Vol 22, Iss 7, p 2640 (2022)
Muscular atrophy after limb fracture is a frequently occurring complication with multiple causes. Different treatments and targeted rehabilitation procedures should be carried out based on the causes. However, bedside evaluation methods are invasive
Externí odkaz:
https://doaj.org/article/53aab6f0d85e4a508c231920e0d6d492
Autor:
Sihao Li, Yuan Sun, Yazhou Chen, Jinwei Lu, Guangyao Jiang, Kang Yu, Yifan Wu, Yufei Mao, Hao Jin, Jikui Luo, Shurong Dong, Bin Hu, Yi Ding, An Liu, Yu Shen, Gang Feng, Shigui Yan, Yong He, Ruijian Yan
Publikováno v:
ACS Applied Materials & Interfaces. 15:4652-4667
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c8f227419478b666db6b10637c4f8f9
https://doi.org/10.1021/acsami.2c16584
https://doi.org/10.1021/acsami.2c16584
Publikováno v:
Orthopaedic Surgery. 14:2580-2590
This study is aimed to investigate the clinical outcomes of a novel SSPS for fixation of the comminuted coronoid fracture.A retrospective study was carried out in the patients with comminuted fractures of the coronoid treated by SPSS fixation between
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0bbb72a379fc76ece8453ed5eda5f2db
https://doi.org/10.1111/os.13460
https://doi.org/10.1111/os.13460
Publikováno v:
IEEE Transactions on Dielectrics and Electrical Insulation. 29:1095-1102
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb4fe3b0acf0585efc83e4ed6f538ee5
https://doi.org/10.1109/tdei.2022.3173512
https://doi.org/10.1109/tdei.2022.3173512
Publikováno v:
2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb1a32e20a1fe865dbd8e3f682aa13a7
https://doi.org/10.1109/spies55999.2022.10082433
https://doi.org/10.1109/spies55999.2022.10082433
Autor:
Gang Feng, Zhiyuan Cheng, Dongfang Ma, Yifan Wu, Jianqiao Hong, Xiulin Tian, Ruijian Yan, Weijie Lin, Xin Lu
Publikováno v:
CIN: Computers, Informatics, Nursing. 40:251-257
Being bedridden is a frequent comorbid condition that leads to a series of complications in clinical practice. The present study aimed to predict bedridden duration of hospitalized patients based on EMR at admission by machine learning. The medical d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2e5ae771d50585aea071eded59400e3
https://doi.org/10.1097/cin.0000000000000765
https://doi.org/10.1097/cin.0000000000000765