Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Thi My Linh Tran"'
Autor:
Chris K. Kim, Ji Whae Choi, Zhicheng Jiao, Dongcui Wang, Jing Wu, Thomas Y. Yi, Kasey C. Halsey, Feyisope Eweje, Thi My Linh Tran, Chang Liu, Robin Wang, John Sollee, Celina Hsieh, Ken Chang, Fang-Xue Yang, Ritambhara Singh, Jie-Lin Ou, Raymond Y. Huang, Cai Feng, Michael D. Feldman, Tao Liu, Ji Sheng Gong, Shaolei Lu, Carsten Eickhoff, Xue Feng, Ihab Kamel, Ronnie Sebro, Michael K. Atalay, Terrance Healey, Yong Fan, Wei-Hua Liao, Jianxin Wang, Harrison X. Bai
Publikováno v:
npj Digital Medicine, Vol 5, Iss 1, Pp 1-9 (2022)
Abstract While COVID-19 diagnosis and prognosis artificial intelligence models exist, very few can be implemented for practical use given their high risk of bias. We aimed to develop a diagnosis model that addresses notable shortcomings of prior stud
Externí odkaz:
https://doaj.org/article/f0f396cc4f334525b20cb1ca2433d075
Autor:
Jiahao Lin, Bingting Bao, Nigar Anjuman Khurram, Kasey Halsey, Ji Whae Choi, Lesan Wang, Thi My Linh Tran, Wei-Hua Liao, Michael D. Feldman, Paul J. Zhang, Jing Wu, Harrison X. Bai
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-6 (2021)
Abstract To explore the role of chronic liver disease (CLD) in COVID-19. A total of 1439 consecutively hospitalized patients with COVID-19 from one large medical center in the United States from March 16, 2020 to April 23, 2020 were retrospectively i
Externí odkaz:
https://doaj.org/article/7e22fe39208741a2aba86e8d6b795ae7
Autor:
Zhicheng Jiao, PhD, Ji Whae Choi, BA, Kasey Halsey, BA, Thi My Linh Tran, BS, Ben Hsieh, MS, Dongcui Wang, MD, Feyisope Eweje, BSc, Robin Wang, BA, Ken Chang, PhD, Jing Wu, MD, Scott A Collins, AS, Thomas Y Yi, BS, Andrew T Delworth, Tao Liu, PhD, Terrance T Healey, MD, Shaolei Lu, MD, Jianxin Wang, ProfPhD, Xue Feng, PhD, Michael K Atalay, MD, Li Yang, PhD, Michael Feldman, MD, Paul J L Zhang, MD, Wei-Hua Liao, ProfMD, Yong Fan, PhD, Harrison X Bai, MD
Publikováno v:
The Lancet: Digital Health, Vol 3, Iss 5, Pp e286-e294 (2021)
Summary: Background: Chest x-ray is a relatively accessible, inexpensive, fast imaging modality that might be valuable in the prognostication of patients with COVID-19. We aimed to develop and evaluate an artificial intelligence system using chest x-
Externí odkaz:
https://doaj.org/article/859a10496aa640f1b08c723766094f0a
Autor:
Jianhong Cheng, John Sollee, Celina Hsieh, Hailin Yue, Nicholas Vandal, Justin Shanahan, Ji Whae Choi, Thi My Linh Tran, Kasey Halsey, Franklin Iheanacho, James Warren, Abdullah Ahmed, Carsten Eickhoff, Michael Feldman, Eduardo Mortani Barbosa, Ihab Kamel, Cheng Ting Lin, Thomas Yi, Terrance Healey, Paul Zhang, Jing Wu, Michael Atalay, Harrison X. Bai, Zhicheng Jiao, Jianxin Wang
Publikováno v:
European Radiology. 32:4446-4456
We aimed to develop deep learning models using longitudinal chest X-rays (CXRs) and clinical data to predict in-hospital mortality of COVID-19 patients in the intensive care unit (ICU).Six hundred fifty-four patients (212 deceased, 442 alive, 5645 to
Publikováno v:
Rhode Island Medical Journal. Apr2022, Vol. 105 Issue 3, p39-41. 3p.
Publikováno v:
Rhode Island medical journal (2013). 105(9)
Autor:
Zeng Xiong, Yi-Hui Li, Scott Collins, Kasey Halsey, Xue Feng, Michael K. Atalay, Harrison X. Bai, Robin Wang, Ian Pan, Tao Liu, Fei-Xian Fu, Qizhi Yu, Paul J. Zhang, Ken Chang, Ji Whae Choi, Terrance T. Healey, Ping-Feng Hu, Dongcui Wang, Li Yang, Jianxin Wang, Raymond Y. Huang, Jie Liu, Thi My Linh Tran, Zhicheng Jiao, Shuai Yang, Xiaoping Yi, Qiuhua Zeng, Ronnie Sebro, Weihua Liao, Lin-Bo Shi, Xiao-Long Jiang, Jing Wu, Liping Zhu, Yong Fan
Publikováno v:
European Radiology
Objectives Early recognition of coronavirus disease 2019 (COVID-19) severity can guide patient management. However, it is challenging to predict when COVID-19 patients will progress to critical illness. This study aimed to develop an artificial intel
Autor:
Scott E. Kasner, Thi My Linh Tran, David Kung, Paul J. Zhang, Sohil H. Patel, Michael E. Reznik, Shixin Liu, Tao Liu, Li Yang, Yanhe Xiao, Ji Whae Choi, Lei Tang, Raymond Y. Huang, Wei Hua Liao, Renyu Liu, Jing Wu, Daniel D. Danoski, Harrison X. Bai, Michael Feldman, Bo Xiao, Kasey Halsey, Jerrold L. Boxerman
Publikováno v:
CNS Neuroscience & Therapeutics
Aims To determine if neurologic symptoms at admission can predict adverse outcomes in patients with severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2). Methods Electronic medical records of 1053 consecutively hospitalized patients with
Autor:
Shujuan Meng, Thi My Linh Tran, Mingzhe Hu, PanPan Wang, Thomas Yi, Zhusi Zhong, Luoyun Wang, Braden Vogt, Zhicheng Jiao, Arko Barman, Ugur Cetintemel, Ken Chang, Dat-Thanh Nguyen, Ferdinand K. Hui, Ian Pan, Bo Xiao, Li Yang, Hao Zhou, Harrison X. Bai
Publikováno v:
Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association. 31(11)
In this study, we developed a deep learning pipeline that detects large vessel occlusion (LVO) and predicts functional outcome based on computed tomography angiography (CTA) images to improve the management of the LVO patients.A series identifier pic
Autor:
Jing Wu, Raymond Y. Huang, Subhanik Purkayastha, Ken Chang, Ian Pan, Iris Lee, Harrison X. Bai, Yeyu Cai, Thomas Yi, Enhua Xiao, Robin Wang, Thi My Linh Tran, Tao Liu, Zishu Zhang, Shaolei Lu, Rong Hu, Paul J. Zhang
Publikováno v:
European Radiology. 31:4960-4971
There currently lacks a noninvasive and accurate method to distinguish benign and malignant ovarian lesion prior to treatment. This study developed a deep learning algorithm that distinguishes benign from malignant ovarian lesion by applying a convol