Zobrazeno 1 - 10
of 289
pro vyhledávání: '"TianLong Wang"'
Autor:
Jing Wang, Tianlong Wang, Han Zhang, Qiaoni Zhang, Gang Liu, Shujie Yan, Qian Wang, Yuan Teng, Jian Wang, Qiang Hu, Bingyang Ji
Publikováno v:
BMC Surgery, Vol 24, Iss 1, Pp 1-6 (2024)
Abstract Background Coronary artery bypass grafting (CABG) is often performed with hypothermic cardiopulmonary bypass (CPB) to reduce metabolic demands and protect the myocardium. However, hypothermia can increase bleeding risks and other complicatio
Externí odkaz:
https://doaj.org/article/5b3d97482b5c4a0881224221a8fb83a9
Publikováno v:
BMC Anesthesiology, Vol 24, Iss 1, Pp 1-13 (2024)
Abstract Background The primary objective of anesthesiologists during the induction of anaesthesia is to mitigate the operative stress response resulting from endotracheal intubation. In this prospective, randomized controlled trial, our aim was to a
Externí odkaz:
https://doaj.org/article/3dfc73170bbb4eb5bb24934c673084b9
Autor:
Tianlong Wang, Yinghao Zhu, Zixiang Wang, Wen Tang, Xinju Zhao, Tao Wang, Yasha Wang, Junyi Gao, Liantao Ma, Ling Wang
Publikováno v:
STAR Protocols, Vol 5, Iss 4, Pp 103335- (2024)
Summary: The absence of standardized protocols for integrating end-stage renal disease patient data into AI models has constrained the potential of AI in enhancing patient care. Here, we present a protocol for processing electronic medical records fr
Externí odkaz:
https://doaj.org/article/56cd0b3aaef4488cba5668ddc25bf43d
Publikováno v:
International Journal of Cardiology: Heart & Vasculature, Vol 54, Iss , Pp 101506- (2024)
Background: Left ventricular (LV) overload is a frequent complication during VA-ECMO associated with poor outcomes. Many strategies of LV unloading have been documented but lack of evidence shows which is better. We conducted a network meta-analysis
Externí odkaz:
https://doaj.org/article/a38d386173ac4c149f7be7f4cac2b2a4
Autor:
Yi An, Tianlong Wang, Lixia Li, Zhongjia Li, Chuanyu Liang, Pei Wang, Xuefei Jia, Hongyi Song, Lei Zhao
Publikováno v:
BMC Geriatrics, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Background Myocardial injury after non-cardiac surgery (MINS) is a common and serious complication in older patients. This study investigates the impact of neuromuscular block on the MINS incidence and other cardiovascular complications in t
Externí odkaz:
https://doaj.org/article/252cc5cbbc254048aaa973cc2d6a511e
Publikováno v:
BMC Surgery, Vol 24, Iss 1, Pp 1-9 (2024)
Abstract Background The objective of this study is to identify and evaluate the risk factors associated with the development of postoperative pulmonary complications (PPCs) in elderly patients undergoing video-assisted thoracoscopic surgery lobectomy
Externí odkaz:
https://doaj.org/article/13f03e978cd943bda7fab1244f606ea1
Publikováno v:
BMC Anesthesiology, Vol 24, Iss 1, Pp 1-20 (2024)
Abstract Background An increasing number of individuals undergo total knee arthroplasty (TKA), which can result in pain, limited motor function and adverse complications such as infection, nausea and vomiting. Glucocorticoids have been shown anti-inf
Externí odkaz:
https://doaj.org/article/9977875ba619481db546409394956bf6
Publikováno v:
International Journal of Electrical Power & Energy Systems, Vol 159, Iss , Pp 110034- (2024)
Upon the large-scale integration of inverter-interfaced distributed generator (IIDG) into the grid, random faults in the distribution network can lead to momentary and sustained interruptions, significantly impacting system reliability. Although reli
Externí odkaz:
https://doaj.org/article/e82930eac1dd47aeb40fbd470eeb24c0
Publikováno v:
BMC Anesthesiology, Vol 24, Iss 1, Pp 1-12 (2024)
Abstract Background This meta-analysis was designed to compare the safety and efficiency of remimazolam with those of propofol in patients undergoing gastroscope sedation. Methods We searched PubMed, Cochrane Library, Embase, Ovid, Wanfang Database,
Externí odkaz:
https://doaj.org/article/e955b70571bb4439a80dba3a434cc593
Publikováno v:
Journal of Hydroinformatics, Vol 26, Iss 1, Pp 237-254 (2024)
Current groundwater prediction models often exhibit low accuracy and complex parameter adjustment. To tackle these limitations, a novel prediction model, called improved Aquila optimizer bi-directional long-term and short-term memory (IAO-BiLSTM) net
Externí odkaz:
https://doaj.org/article/ac22c7c1b7eb4dcd9175901612b1a3a7