Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Hung Ta Hondar Wu"'
Autor:
Hsiao-Yun Yeh, Hung-Ta Hondar Wu, Hsiao-Chin Shen, Tzu-Hao Li, Ying-Ying Yang, Kuei-Chuan Lee, Yi-Hsuan Lin, Chia-Chang Huang, Ming-Chih Hou
Publikováno v:
Endocrine Connections, Vol 13, Iss 8, Pp 1-10 (2024)
Objective: Previous studies have suggested that body mass index (BMI) should be considered when assessing the relationship between fatty liver (FL) and osteoporosis. The aim of this study was to investigate future fracture events in people with FL, f
Externí odkaz:
https://doaj.org/article/84726dd61a3843ee891f9bc4c13e3d0e
Autor:
Cheng-Fong Chen, Yi-Chung Chen, Yu-Show Fu, Shang-Wen Tsai, Po-Kuei Wu, Chao-Ming Chen, Wei-Ming Chen, Hung-Ta Hondar Wu, Chia-Hsin Lee, Chao-Liang Chang, Po-Cheng Lin, Yong-Cheng Kao, Chun-Hung Chen, Ming-Hsi Chuang
Publikováno v:
Cell Transplantation, Vol 33 (2024)
The current study aimed to determine the safety profile of intra-articular-injected allogeneic adipose-derived mesenchymal stem cells (ADSCs) GXCPC1 in subjects with knee osteoarthritis (OA) and its preliminary efficacy outcome. The 3 + 3 phase I stu
Externí odkaz:
https://doaj.org/article/bfab504d577a43028dd6ef89dc09b8c7
Autor:
Zih-Kai Kao, Neng-Tai Chiu, Hung-Ta Hondar Wu, Wan-Chen Chang, Ding-Han Wang, Yen-Ying Kung, Pei-Chi Tu, Wen-Liang Lo, Yu-Te Wu
Publikováno v:
Annals of Biomedical Engineering. 51:517-526
This study proposes a new diagnostic tool for automatically extracting discriminative features and detecting temporomandibular joint disc displacement (TMJDD) accurately with artificial intelligence. We analyzed the structural magnetic resonance imag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b16558afcf45b1321df60fb64250a45
https://doi.org/10.1007/s10439-022-03056-2
https://doi.org/10.1007/s10439-022-03056-2
Autor:
Shih-Tien Wang, Henry Horng-Shing Lu, Hung-Hsun Chen, Ming Chau Chang, Yu-Cheng Yao, Po-Hsin Chou, Hsi Hsien Lin, Tony Hong-Ting Jou, Hung-Ta Hondar Wu
Publikováno v:
The Spine Journal. 22:511-523
BACKGROUND CONTEXT Computer-aided diagnosis with artificial intelligence (AI) has been used clinically, and ground truth generalizability is important for AI performance in medical image analyses. The AI model was trained on one specific group of old
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::74611956b2c33538e66a1342fc4bcb40
https://doi.org/10.1016/j.spinee.2021.10.020
https://doi.org/10.1016/j.spinee.2021.10.020
Autor:
Chin-Hsiu Liu, Chung-Tei Chou, James Cheng-Chung Wei, Wen-Chan Tsai, Howard Haw-Chang Lan, Hsin-Hua Chen, Hung-Ta Hondar Wu, Ying-Chou Chen, Jui-Cheng Tseng, Tsu-Yi Hsieh
Publikováno v:
International Journal of Rheumatic Diseases. 23:24-36
Objective Axial spondyloarthritis (axSpA) is a chronic inflammatory disease bearing challenges in early diagnosis. To improve clinical diagnosis and management of axSpA, recommendations were developed with current axSpA classification criteria and re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4165356c7594ed8e405a322fc8a4a2fa
https://doi.org/10.1111/1756-185x.13679
https://doi.org/10.1111/1756-185x.13679
Autor:
Yi Chu Li, Ming Chau Chang, Henry Horng Shing Lu, Hung-Hsun Chen, Hung Ta Hondar Wu, Po Hsin Chou
Publikováno v:
Clin Orthop Relat Res
BACKGROUND: Vertebral fractures are the most common osteoporotic fractures in older individuals. Recent studies suggest that the performance of artificial intelligence is equal to humans in detecting osteoporotic fractures, such as fractures of the h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5769be35412a8424d9417524ead2168a
https://europepmc.org/articles/PMC8208416/
https://europepmc.org/articles/PMC8208416/
Autor:
Yi-Chu Li, Hung-Hsun Chen, Horng-Shing Lu, Henry, Hung-Ta Hondar Wu, Ming-Chau Chang, Po-Hsin Chou, Li, Yi-Chu, Chen, Hung-Hsun, Hondar Wu, Hung-Ta, Chang, Ming-Chau, Chou, Po-Hsin
Publikováno v:
Clinical Orthopaedics & Related Research®; Jul2021, Vol. 479 Issue 7, p1598-1612, 15p
Autor:
Wei Ming Chen, Po Kuei Wu, Han Ying Lin, Ching Lan Wu, Wan-Yuo Guo, Paul Chih-Hsueh Chen, Hung Ta Hondar Wu
Publikováno v:
Journal of the Chinese Medical Association, Vol 81, Iss 10, Pp 912-919 (2018)
Background: Most instances of the parosteal osteosarcoma (OGS) are low-grade tumors. However, some parosteal OGSs undergo dedifferentiated transformation. Dedifferentiated parosteal OGS can cause distant metastasis and poor survival, and preoperative
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d8f5c3cccc61cc88b0a6d577e252b0b
https://pubmed.ncbi.nlm.nih.gov/30190236
https://pubmed.ncbi.nlm.nih.gov/30190236
Autor:
Wei Ming Chen, Hung Ta Hondar Wu, Po Kuei Wu, Chih Ying Lee, Cheng Ying Shiau, Chao Chun Chen, Chueh Chuan Yen, Hsiu Ju Yen, Cheng Fong Chen, Hong Jen Chiou, Paul Chih-Hsueh Chen, Giun Yi Hung, Ta Chung Chao
Publikováno v:
Medicine
To identify the prognostic factors and long-term outcome of the Ewing sarcoma family of tumors (ESFT), data on 50 patients with ESFT treated at Taipei Veterans General Hospital between February 1991 and March 2014 were retrospectively considered. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::227867059039ee5eea36dcb9e321cf53
https://pubmed.ncbi.nlm.nih.gov/27258529
https://pubmed.ncbi.nlm.nih.gov/27258529
Autor:
Hong-Jen Chiou, Paul Chih-Hsueh Chen, Chueh-Chuan Yen, Ta-Chung Chao, Cheng-Ying Shiau, Tain-Hsiung Chen, Cheng-Hwai Tzeng, Yi-Sheng Chou, Chunyu Liu, Chien-Lin Liu, Hung-Ta Hondar Wu, Wei Ming Chen, Yu Chung Wu
Publikováno v:
Journal of Surgical Oncology. 106:155-161
Background and Objectives We explored the impact of frequency of surveillance imaging on disease-specific survival (DSS) in patients with extremity soft tissue sarcoma (STS). Methods Locoregional imaging (LRI) and chest imaging (CI) were used to dete
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d08be881073ea58fbb01e09cc1d95ad
https://doi.org/10.1002/jso.23060
https://doi.org/10.1002/jso.23060