Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Siew-Li Goh"'
Autor:
Siew-Li Goh, Zulkarnain Jaafar, Yan-Nee Gan, Alston Choong, Jaspreet Kaur, Burak Kundakci, Samihah Abdul Karim, Muhammad Rahmani Jaffar, Mohamad Shariff A Hamid
Publikováno v:
PLoS ONE, Vol 16, Iss 5, p e0252204 (2021)
IntroductionProlotherapy and other injections, primarily acting on pathways associated with maladaptive tissue repair, are recommended for recalcitrant chronic soft tissue injuries (CSTI). However, selection of injection is challenging due to mixed r
Externí odkaz:
https://doaj.org/article/ad32d60747f44119a4607299937e8e3e
Autor:
Yu Fu, Monica S. M. Persson, Archan Bhattacharya, Siew-Li Goh, Joanne Stocks, Marienke van Middelkoop, Sita M. A. Bierma-Zeinstra, David Walsh, Michael Doherty, Weiya Zhang
Publikováno v:
Systematic Reviews, Vol 5, Iss 1, Pp 1-6 (2016)
Abstract Background The management of osteoarthritis (OA) is unsatisfactory, as most treatments are not clinically effective over placebo and most drugs have considerable side effects. On average, 75 % of the analgesic effect from OA treatments in cl
Externí odkaz:
https://doaj.org/article/5f1177eaf78d442d960c43665f45220f
Autor:
Pauline Shan Qing Yeoh, Li Bing, Siew Li Goh, Khairunnisa Hasikin, Xiang Wu, Yan Chai Hum, Yee Kai Tee, Khin Wee Lai
Publikováno v:
IEEE Access, Vol 12, Pp 123757-123770 (2024)
Early detection of knee osteoarthritis is crucial because the damage in the knee joint is irreversible at the advanced stage. Medical images such as Magnetic Resonance Imaging plays an important role in knee osteoarthritis diagnosis as it provides ex
Externí odkaz:
https://doaj.org/article/24f3a39b50964847965ef901992a9309
Publikováno v:
IEEE Access, Vol 12, Pp 109080-109108 (2024)
Existing artificial intelligence (AI) models for diagnosing knee osteoarthritis (OA) have faced criticism for their lack of transparency and interpretability, despite achieving medical-expert-like performance. This opacity makes them challenging to t
Externí odkaz:
https://doaj.org/article/5f8ed32c681f485ea2d632dee4f3fe07
Publikováno v:
IEEE Access, Vol 11, Pp 135323-135333 (2023)
Deep learning, particularly Convolutional Neural Networks, has demonstrated effectiveness in computer-aided diagnosis applications, including knee osteoarthritis analysis. Two of the most common tasks done in medical imaging are segmentation and clas
Externí odkaz:
https://doaj.org/article/a94e8a823a15416db947cf6deb1389a0
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 11 (2023)
Knee osteoarthritis is one of the most common musculoskeletal diseases and is usually diagnosed with medical imaging techniques. Conventionally, case identification using plain radiography is practiced. However, we acknowledge that knee osteoarthriti
Externí odkaz:
https://doaj.org/article/d0d9bccd577b4677bc00cce72283d72e
Publikováno v:
PLoS ONE, Vol 18, Iss 1, p e0280361 (2023)
The validity and reliability of the Lafayette stability platform are well-established for double leg testing. However, no evaluation of single leg (SL) stance on the platform was discovered yet. Therefore, this study aimed to investigate the reliabil
Externí odkaz:
https://doaj.org/article/d26f238daa8f42e4bee83fac961327e5
Autor:
Wan Shi Low, Kheng Yee Goh, Sim Kuan Goh, Chen Hua Yeow, Khin Wee Lai, Siew Li Goh, Joon Huang Chuah, Chow Khuen Chan
Publikováno v:
Multimedia Tools and Applications. 82:9745-9760
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::33d1702a9075aa7deb3b919d51840796
https://doi.org/10.1007/s11042-021-11838-4
https://doi.org/10.1007/s11042-021-11838-4
Autor:
Michelle Hall, Michael Doherty, Siew-Li Goh, Weiya Zhang, Abhishek Abhishek, Jaspreet Kaur, Burak Kundakci
Publikováno v:
Pain. 163:1432-1445
Fibromyalgia is a highly heterogeneous condition, but the most common symptoms are widespread pain, fatigue, poor sleep, and low mood. Nonpharmacological interventions are recommended as first-line treatment of fibromyalgia. However which interventio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0501e0fc10031e621a0af46cbbe9594f
https://doi.org/10.1097/j.pain.0000000000002500
https://doi.org/10.1097/j.pain.0000000000002500
Autor:
Sook Hui Chaw, Siew-Li Goh, Pui San Loh, Lo Yl, Chao Chia Cheong, Ina Ismiarti Shariffuddin, Lai Fen Wong, Wei Keang Tan
Publikováno v:
Obesity Surgery. 31:4305-4315
Transversus abdominis plane (TAP) block and intraperitoneal local anesthetics (IPLA) are widely investigated techniques that potentially improve analgesia after bariatric surgery. The analgesic efficacy of TAP block has been shown in previous studies
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aed7fd388a40302f2936c78dabaff5c1
https://doi.org/10.1007/s11695-021-05564-x
https://doi.org/10.1007/s11695-021-05564-x