Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Antian Gao"'
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
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
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
Autor:
Antian Gao, Yuehui Teng, Pakezhati Seyiti, Yingtzu Yen, Hanqing Qian, Chen Xie, Rutian Li, Zitong Lin
Publikováno v:
Nanoscale Research Letters, Vol 14, Iss 1, Pp 1-9 (2019)
Abstract In this study, the tumor-targeted MRI contrast agent was prepared with gelatinase-stimuli nanoparticles (NPs) and Omniscan (Omn) by double emulsion method. The size, distribution, morphology, stability, drug loading, and encapsulation effici
Externí odkaz:
https://doaj.org/article/37393e849c1241a0a1820914467928b4
Publikováno v:
Nano Research. 16:2808-2820
Autor:
Dantong Cao, Peng Zhang, Antian Gao, Aihemaiti Gulibire, Xin Xie, Jiahao Liang, Ziyang Hu, Weiwei Yin, Zitong Lin
Publikováno v:
Australian endodontic journal : the journal of the Australian Society of Endodontology IncREFERENCES.
This study aimed to develop a predictive model to screen for undetected vertical root fractures (VRFs) in root canal treated teeth. We included 95 root canal treated teeth with suspected VRFs; 77 for training and 18 for validation. Following clinical
Publikováno v:
Clinical oral investigations. 26(10)
This study aimed to compare posterior tooth root fractures in endodontically treated teeth versus nonendodontically treated teeth in the Chinese population.We investigated 500 root fractured posterior teeth in 461 Chinese patients. The clinical infor
Autor:
Yuehui Teng, Rutian Li, Zitong Lin, Hanqing Qian, Pakezhati Seyiti, Ying-Tzu Yen, Chen Xie, Antian Gao
Publikováno v:
Nanoscale Research Letters, Vol 14, Iss 1, Pp 1-9 (2019)
Nanoscale Research Letters
Nanoscale Research Letters
In this study, the tumor-targeted MRI contrast agent was prepared with gelatinase-stimuli nanoparticles (NPs) and Omniscan (Omn) by double emulsion method. The size, distribution, morphology, stability, drug loading, and encapsulation efficiency of O