Zobrazeno 1 - 10
of 1 395
pro vyhledávání: '"multi‐center study"'
Autor:
Xin Ye, Shucheng He, Ruilong Dan, Shangchao Yang, Jiahao Xv, Yang Lu, Bole Wu, Congying Zhou, Han Xu, Jiafeng Yu, Wenbin Xie, Yaqi Wang, Lijun Shen
Publikováno v:
Ophthalmology and Therapy, Vol 13, Iss 10, Pp 2645-2659 (2024)
Abstract Introduction The aim of this work is to develop a deep learning (DL) system for rapidly and accurately screening for intraocular tumor (IOT), retinal detachment (RD), vitreous hemorrhage (VH), and posterior scleral staphyloma (PSS) using ocu
Externí odkaz:
https://doaj.org/article/daf49837939947a19824ad885dca3277
Autor:
Chuanjun Xu, Qinmei Xu, Li Liu, Mu Zhou, Zijian Xing, Zhen Zhou, Danyang Ren, Changsheng Zhou, Longjiang Zhang, Xiao Li, Xianghao Zhan, Olivier Gevaert, Guangming Lu
Publikováno v:
European Journal of Radiology Open, Vol 13, Iss , Pp 100603- (2024)
Purpose: The novel coronavirus pneumonia (COVID-19) has continually spread and mutated, requiring a patient risk stratification system to optimize medical resources and improve pandemic response. We aimed to develop a conformal prediction-based tri-l
Externí odkaz:
https://doaj.org/article/c18272aff51b4df1a687f4c510bb6b87
Publikováno v:
Frontiers in Psychiatry, Vol 15 (2024)
IntroductionScientific studies have focused on patient-related characteristics as predictors of length of stay in forensic psychiatry. However, little attention has been paid to the specificities of forensic psychiatric settings. This study aims to t
Externí odkaz:
https://doaj.org/article/ecef2753416e40a49497bc14ea8bc65a
Publikováno v:
Frontiers in Physics, Vol 12 (2024)
Backgroud and objectivesThe implementation of patient-specific quality assurance (PSQA) has become a crucial aspect of the radiation therapy process. Machine learning models have demonstrated their potential as virtual QA tools, accurately predicting
Externí odkaz:
https://doaj.org/article/2bfa49f9e9a24a759fbf0d351636603d
Publikováno v:
Mathematics, Vol 12, Iss 14, p 2265 (2024)
Analyzing treatment or exposure effect is a major research theme in scientific studies. In the current big-data era where multiple sources of data are available, it is of interest to perform a synthesized analysis of treatment effects by integrating
Externí odkaz:
https://doaj.org/article/78b3eaf0988c4455accf129a45862fda
Publikováno v:
Frontiers in Pharmacology, Vol 15 (2024)
Objective:This study aimed to explore the signal detection method for allergic reactions induced by inpatient iodixanol injection.Methods:A database of 3,719,217 hospitalized patients from 20 large Chinese general hospitals was processed and analyzed
Externí odkaz:
https://doaj.org/article/92dbbda110c14568abff9f94a3b0ad49
Autor:
Xuelei Zang, Weixin Ke, Yemei Huang, Chen Yang, Jialin Song, Hengyu Deng, Meng Zhou, Qiqi Wang, Yangyu Zhou, Bin Dai, Jin Qian, Dingxia Shen, Linqi Wang, Xinying Xue
Publikováno v:
Microbiology Spectrum, Vol 11, Iss 6 (2023)
ABSTRACT Cryptococcus gattii (C. gattii) is emerging as a life-threatening fungus worldwide. However, few data were available in China. In this study, 27 isolates and 32 patient information were collected from several hospitals in China, together wit
Externí odkaz:
https://doaj.org/article/56d2388df51e481386d48fac343f5e80
Autor:
Weidao Chen, Jiangfen Wu, Ren Wei, Shuang Wu, Chen Xia, Dawei Wang, Daliang Liu, Longmei Zheng, Tianyu Zou, Ruijiang Li, Xianrong Qi, Xiaotong Zhang
Publikováno v:
Insights into Imaging, Vol 13, Iss 1, Pp 1-12 (2022)
Key points The model simultaneously segments infarcts and estimates ASPECTS by using baseline CT. A mirror-assembly module plus dual-path DCNN model improved the segmentation efficiency. We evaluated the model in a multi-reader and multicenter (MRMC)
Externí odkaz:
https://doaj.org/article/a269ba8efc054989988712c7aa286b8c
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