Zobrazeno 1 - 10
of 290
pro vyhledávání: '"Ziyang Hu"'
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-9 (2024)
Abstract Aim This study aimed to assess the performance of OpenAI’s ChatGPT in generating diagnosis based on chief complaint and cone beam computed tomography (CBCT) radiologic findings. Materials and methods 102 CBCT reports (48 with dental diseas
Externí odkaz:
https://doaj.org/article/b8dd61c5ab7444c9bd8907ed9290b42e
Publikováno v:
Advances in Rheumatology, Vol 64, Iss 1, Pp 1-9 (2024)
Abstract Aim This study aimed to investigate the causal impact of inflammatory cytokines on Sjogren’s Syndrome (SS) and to identify potential biomarkers for SS clinical management using Mendelian Randomization (MR). Materials and methods Leveraging
Externí odkaz:
https://doaj.org/article/f0ad83d2f07642109dc977cbbf81d9d0
Accuracy of implant height and width measurement with triaxial rotation method based on cone-beam CT
Autor:
Ziyang Hu, Zhengding Yuan, Dantong Cao, Rong Tang, Shu Liu, Shanhui Wen, Antian Gao, Zitong Lin
Publikováno v:
Heliyon, Vol 10, Iss 11, Pp e32076- (2024)
Objective: To investigate the accuracy of implant height and width measurement in the mandibular and maxillary first molar region based on cone-beam CT (CBCT) data, and to establish an accurate method for bone measurement in the implant region. Mater
Externí odkaz:
https://doaj.org/article/ade3c5feb28945fcb9f75499cc38dbc0
Publikováno v:
Heliyon, Vol 10, Iss 10, Pp e31036- (2024)
Objectives: This study aims to investigate the use of sodium iodide (NaI), dimethyl sulfoxide (DMSO), ethyl alcohol, and ethyl acetate as cone-beam CT (CBCT) contrast agents for diagnosing cracked teeth. The optimal delay time for detecting the numbe
Externí odkaz:
https://doaj.org/article/b29f13f9ae6d4c478a1abe106ad15bd2
Publikováno v:
Materials, Vol 17, Iss 13, p 3301 (2024)
The direct discharge of boron mud poses significant environmental hazards to soil and groundwater. Despite extensive research efforts, the reprocessing of boron mud has not yielded significant advancements. Recently, the development of magnesium ceme
Externí odkaz:
https://doaj.org/article/5d4d7ef8148548fabf4c640da5285914
Autor:
Ziyang Hu, Zhe Xu, Qu Yue, Xuhong Pan, Ping Shi, Dandan Zhang, Jiexia Zhang, Runzhi Deng, Zitong Lin
Publikováno v:
Frontiers in Oncology, Vol 14 (2024)
AimThis research aimed to explore the causal impact of blood metabolites on oral cancer using a two-sample Mendelian randomization (MR) analysis. The study endeavored to identify potential biomarkers for oral cancer’s clinical management.Materials
Externí odkaz:
https://doaj.org/article/af33fb79c3d84f8b9c9c135a349e4b55
Publikováno v:
Buildings, Vol 14, Iss 4, p 1044 (2024)
The preparation of cement-based supplementary cementitious materials is an important method for the efficient use of iron tailings and the reduction in CO2 emissions. The aim of this study is to improve the reactivity of iron tailings by mixing them
Externí odkaz:
https://doaj.org/article/ed61b210e25e4e08967fad421f0dfc51
Autor:
Ziyang Hu, Dantong Cao, Yanni Hu, Baixin Wang, Yifan Zhang, Rong Tang, Jia Zhuang, Antian Gao, Ying Chen, Zitong Lin
Publikováno v:
BMC Oral Health, Vol 22, Iss 1, Pp 1-9 (2022)
Abstract Objectives Evaluating the diagnostic efficiency of deep learning models to diagnose vertical root fracture in vivo on cone-beam CT (CBCT) images. Materials and methods The CBCT images of 276 teeth (138 VRF teeth and 138 non-VRF teeth) were e
Externí odkaz:
https://doaj.org/article/b22225d3217c4675bc5899197a12d43c
Autor:
Ziyang Hu, Baixin Wang, Xiao Pan, Dantong Cao, Antian Gao, Xudong Yang, Ying Chen, Zitong Lin
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
ObjectivesEvaluating the diagnostic efficiency of deep-learning models to distinguish malignant from benign parotid tumors on plain computed tomography (CT) images.Materials and methodsThe CT images of 283 patients with parotid tumors were enrolled a
Externí odkaz:
https://doaj.org/article/0c331aad500646c48f1afef585fc40a0
Publikováno v:
Bioactive Materials, Vol 5, Iss 2, Pp 219-227 (2020)
A new type of biomedical Mg–Zn–Y-Nd alloy was developed and thermal extruded by different processes to investigate the effect of extrusion ratio and extrusion pass on its microstructure, mechanical property and degradation performance. The result
Externí odkaz:
https://doaj.org/article/eec1e3cbe9de48d3bad9bbeb758bebfe