Zobrazeno 1 - 10
of 19
pro vyhledávání: '"LinJing Zhou"'
Autor:
Yong Tang, Zhenghua Lin, Linjing Zhou, Weijia Wang, Longbo Wen, Yongli Zhou, Zongyuan Ge, Zhao Chen, Weiwei Dai, Zhikuan Yang, He Tang, Weizhong Lan
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-11 (2024)
Abstract The question of whether artificial intelligence (AI) can surpass human capabilities is crucial in the application of AI in clinical medicine. To explore this, an interpretable deep learning (DL) model was developed to assess myopia status us
Externí odkaz:
https://doaj.org/article/1ed2b763e6624eaca496459805b986f4
Autor:
Luxia Qi, Tian Gao, Chujie Bai, Zhanfei Guo, Linjing Zhou, Xiaodong Yang, Zhengfu Fan, Guifang Zhang
Publikováno v:
Heliyon, Vol 10, Iss 17, Pp e37070- (2024)
Osteosarcoma (OS) has strong invasiveness, early metastasis, high drug resistance, and poor prognosis. At present, OS still lacks reliable biomarkers, which makes early diagnosis of OS more difficult. AOC3 is highly expressed in OS and highly correla
Externí odkaz:
https://doaj.org/article/82da0e58e36146b8af7f563ab52aba72
Autor:
Lan Gao, QinDong Shi, XiaoYu Zhang, Xiang Bu, PeiYing Zheng, LinJing Zhou, JinQi Yan, Hao Li, Gang Tian
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 11 (2024)
BackgroundCircadian rhythms play a crucial role in cardiovascular health, with the nocturnal diurnal heart rate index (NDHRI) reflecting significant circadian variations. However, the optimal NDHRI target in Intensive Care Unit (ICU) patients remains
Externí odkaz:
https://doaj.org/article/ef4673c859b542628c5dad4dbdbfc557
Autor:
Hao Li, Yihe Lu, Guoxin Tian, Yongxing Wu, Tianjun Chen, Jiangwei Zhang, Nan Hu, Xiaoning Wang, Yang Wang, Lan Gao, Jinqi Yan, Linjing Zhou, Qindong Shi
Publikováno v:
BMC Infectious Diseases, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background Pneumocystis jirovecii pneumonia (PJP) is a life-threatening and severe disease in immunocompromised hosts. A synergistic regimen based on the combination of sulfamethoxazole-trimethoprim (SMX-TMP) with caspofungin and glucocortic
Externí odkaz:
https://doaj.org/article/e0453fe3a4034349a267631a5567c0dc
Autor:
Pandora Hope, Jannatun Nahar, Gen C Tolhurst, Surendra P Rauniyar, Roseanna C McKay, Linjing Zhou, Michael R Grose, Blair C Trewin, David J Martin, Simon Grainger, Avijeet Ramchurn, James S Risbey, David A Jones
Publikováno v:
Environmental Research: Climate, Vol 3, Iss 4, p 045014 (2024)
When a record hot month occurs, timely and credible attribution and contextualisation information can enhance public understanding and future preparedness. This is particularly effective if provided in real time by a National Meteorological and Hydro
Externí odkaz:
https://doaj.org/article/567fab56be2649a0b0693b015c52dd5b
Autor:
Michael Grose, Pandora Hope, James Risbey, Camille J Mora, Sarah Perkins-Kirkpatrick, Andrew King, Luke J Harrington, Suzanne Rosier, Richard Matear, Mitchell Black, Dáithi Stone, David Frame, Roseanna C McKay, Hamish Ramsay, Linjing Zhou, Gen Tolhurst
Publikováno v:
Environmental Research: Climate, Vol 3, Iss 3, p 035009 (2024)
Extreme event attribution (EEA) information is increasingly in demand from climate services. EEA messages can: raise awareness about the effect climate change has already imposed, inform climate change liability conversations, and be combined with cl
Externí odkaz:
https://doaj.org/article/ac567e59277444e58ff8357e004c65d9
Autor:
Wen Pan, Xujia Li, Weijia Wang, Linjing Zhou, Jiali Wu, Tao Ren, Chao Liu, Muhan Lv, Song Su, Yong Tang
Publikováno v:
BMC Gastroenterology, Vol 21, Iss 1, Pp 1-8 (2021)
Abstract Background Development of a deep learning method to identify Barrett's esophagus (BE) scopes in endoscopic images. Methods 443 endoscopic images from 187 patients of BE were included in this study. The gastroesophageal junction (GEJ) and squ
Externí odkaz:
https://doaj.org/article/9a2f597de12a43659026768744468e8c
Autor:
Yong Tang, Xiaorong Gao, Weijia Wang, Yujiao Dan, Linjing Zhou, Song Su, Jiali Wu, Hongbin Lv, Yue He
Publikováno v:
Ophthalmic Research.
Introduction: Development and validation of a deep learning algorithm to automatedly identify and locate ERM regions in OCT images. Methods: OCT images of 468 eyes were retrospectively collected from a total of 404 ERM patients. One expert manually a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a34642d3a3f66c429d1f40b21b213eb0
https://doi.org/10.1159/000525929
https://doi.org/10.1159/000525929
Autor:
Yong Tang, Zhao Chen, Weijia Wang, Longbo Wen, Linjing Zhou, Mao Wang, Fan Tang, He Tang, Weizhong Lan, Zhikuan Yang
Publikováno v:
Translational Vision Science & Technology
Purpose Given the robust effectiveness of inhibiting myopia progression, orthokeratology has gained increasing popularity worldwide. However, identifying the boundary and the center of reshaped corneal area (i.e., treatment zone) is the main challeng
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ee8cec62d1ede24bb207f0ed7b860a4
http://europepmc.org/articles/PMC8709934
http://europepmc.org/articles/PMC8709934
Autor:
Tao Ren, Yong Tang, Song Su, Weijia Wang, Linjing Zhou, Wen Pan, Xujia Li, Jiali Wu, Muhan Lv, Chao Liu
Publikováno v:
BMC Gastroenterology
BMC Gastroenterology, Vol 21, Iss 1, Pp 1-8 (2021)
BMC Gastroenterology, Vol 21, Iss 1, Pp 1-8 (2021)
Background Development of a deep learning method to identify Barrett's esophagus (BE) scopes in endoscopic images. Methods 443 endoscopic images from 187 patients of BE were included in this study. The gastroesophageal junction (GEJ) and squamous-col
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb5f21e6a0b0731858e3d525b822bc1b
https://pubmed.ncbi.nlm.nih.gov/34920705
https://pubmed.ncbi.nlm.nih.gov/34920705