Zobrazeno 1 - 10
of 2 600
pro vyhledávání: '"Wang Yaqi"'
Publikováno v:
Waike lilun yu shijian, Vol 29, Iss 03, Pp 220-229 (2024)
For locally advanced rectal cancer (LARC), the standard treatment of neoadjuvant chemoradiotherapy (nCRT) followed by total mesorectal excision (TME) leaded to limited tumor regression grade and organ preservation rate, and didn’t decrease the rate
Externí odkaz:
https://doaj.org/article/aa6b4374290c4e238826771a85bf78db
Autor:
LIANG Changhao, YIN Guanxiang, WANG Yaqi, LIU Siqi, GAO Yicheng, LIU Pengwei, SU Xiangfei, FEI Yutong
Publikováno v:
Xiehe Yixue Zazhi, Vol 14, Iss 5, Pp 1084-1090 (2023)
In the process of developing clinical practice guidelines, consensus method is essential to determine clinical problems and recommendations, among which Delphi method and modified Delphi method are the most common. Therefore, scientific and standardi
Externí odkaz:
https://doaj.org/article/b16cb7f1ca8441b090c987e668016784
Autor:
LIANG Changhao, YIN Dingran, LIU Meijun, YIN Guanxiang, LI Xun, WANG Yaqi, LIU Siqi, TONG Min, LIU Pengwei, SU Xiangfei, FEI Yutong
Publikováno v:
Xiehe Yixue Zazhi, Vol 15, Iss 4, Pp 942-952 (2023)
ObjectiveThis study delves into the pivotal factors influencing the consensus process within traditional Chinese medicine guideline development, with the objective of augmenting the quality of this process through methodological recommendations aimed
Externí odkaz:
https://doaj.org/article/ea2632e2f7c54108a1f51568902695c0
Publikováno v:
Xiehe Yixue Zazhi, Vol 14, Iss 4, Pp 875-880 (2023)
As an emerging international research hotspot, the development of guidelines with patient participation has seen great differences in related methodological research in China and abroad. This paper advocates the establishment of patient panel, and di
Externí odkaz:
https://doaj.org/article/915d69198e1241baa3e74fce7fcf28f6
Autor:
Gong Manyu, Yang Xuewen, Wang Yaqi, Wang Yanying, Liu Dongping, Li Haodong, Qu Yunmeng, Zhang Xiyang, Zhang Yanwei, Sun Han, Jiao Lei, Zhang Ying
Publikováno v:
Frigid Zone Medicine, Vol 3, Iss 1, Pp 53-64 (2023)
Myocardial infarctions (MI) is a major threat to human health especially in people exposed to cold environment. The polarization of macrophages towards different functional phenotypes (M1 macrophages and M2 macrophages) is closely related to MI repai
Externí odkaz:
https://doaj.org/article/af913727dc9e410a938f2d997549f7e1
In medical image analysis, achieving fast, efficient, and accurate segmentation is essential for automated diagnosis and treatment. Although recent advancements in deep learning have significantly improved segmentation accuracy, current models often
Externí odkaz:
http://arxiv.org/abs/2411.19447
Autor:
Wang, Yaqi, Xu, Haipei
Recently, as Large Language Models (LLMs) have shown impressive emerging capabilities and gained widespread popularity, research on LLM-based search agents has proliferated. In real-world situations, users often input contextual and highly personaliz
Externí odkaz:
http://arxiv.org/abs/2411.14574
We designed a Retrieval-Augmented Generation (RAG) system to provide large language models with relevant documents for answering domain-specific questions about Pittsburgh and Carnegie Mellon University (CMU). We extracted over 1,800 subpages using a
Externí odkaz:
http://arxiv.org/abs/2411.13691
Survival prediction for esophageal squamous cell cancer (ESCC) is crucial for doctors to assess a patient's condition and tailor treatment plans. The application and development of multi-modal deep learning in this field have attracted attention in r
Externí odkaz:
http://arxiv.org/abs/2408.13290
Autor:
Lu, Zhanyun, Gu, Renshu, Cheng, Huimin, Pang, Siyu, Xu, Mingyu, Xu, Peifang, Wang, Yaqi, Kinoshita, Yuichiro, Ye, Juan, Jia, Gangyong, Wu, Qing
Medical image datasets in the real world are often unlabeled and imbalanced, and Semi-Supervised Object Detection (SSOD) can utilize unlabeled data to improve an object detector. However, existing approaches predominantly assumed that the unlabeled d
Externí odkaz:
http://arxiv.org/abs/2408.12355