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Ben Hsieh
Researcher at Rhode Island Hospital
Publications - 10
Citations - 1381
Ben Hsieh is an academic researcher from Rhode Island Hospital. The author has contributed to research in topics: Medicine & Cancer. The author has an hindex of 3, co-authored 7 publications receiving 929 citations. Previous affiliations of Ben Hsieh include Harvard University & Central South University.
Papers
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Journal ArticleDOI
Performance of Radiologists in Differentiating COVID-19 from Non-COVID-19 Viral Pneumonia at Chest CT.
Harrison X. Bai,Ben Hsieh,Zeng Xiong,Kasey Halsey,Ji Whae Choi,Thi My Linh Tran,Ian Pan,Lin Bo Shi,Dong Cui Wang,Ji Mei,Xiao-Long Jiang,Qiu Hua Zeng,Thomas K. Egglin,Ping Feng Hu,Saurabh Agarwal,Fang Fang Xie,Sha Li,Terrance T. Healey,Michael K. Atalay,Wei Hua Liao +19 more
TL;DR: Radiologists in China and the United States distinguished COVID-19 from viral pneumonia on chest CT with high specificity but moderate sensitivity.
Journal ArticleDOI
Artificial Intelligence Augmentation of Radiologist Performance in Distinguishing COVID-19 from Pneumonia of Other Origin at Chest CT
Harrison X. Bai,Robin Wang,Zeng Xiong,Ben Hsieh,Ken Chang,Kasey Halsey,Thi My Linh Tran,Ji Whae Choi,Dongcui Wang,Lin-Bo Shi,Ji Mei,Xiao-Long Jiang,Ian Pan,Qiuhua Zeng,Ping-Feng Hu,Yi-Hui Li,Fei-Xian Fu,Raymond Y. Huang,Ronnie Sebro,Qizhi Yu,Michael K. Atalay,Weihua Liao +21 more
TL;DR: AI assistance improved radiologists' performance in distinguishing COVID-19 from non-CO VID-19 pneumonia on chest CT and assess radiologist performance without and with AI assistance.
Journal ArticleDOI
Prognostication of patients with COVID-19 using artificial intelligence based on chest x-rays and clinical data: a retrospective study.
Zhicheng Jiao,Ji Whae Choi,Kasey Halsey,Thi My Linh Tran,Ben Hsieh,Dongcui Wang,Feyisope R. Eweje,Robin Wang,Ken Chang,Jing Wu,Scott Collins,Thomas Yi,Andrew T. Delworth,Tao Liu,Terrance T. Healey,Shaolei Lu,Jianxin Wang,Xue Feng,Michael K. Atalay,Li Yang,Michael Feldman,Paul J. Zhang,Weihua Liao,Yong Fan,Harrison X. Bai +24 more
TL;DR: In patients with COVID-19, artificial intelligence based on chest x-rays had better prognostic performance than clinical data or radiologist-derived severity scores.
Journal ArticleDOI
Machine Learning-Based Prediction of COVID-19 Severity and Progression to Critical Illness Using CT Imaging and Clinical Data.
Subhanik Purkayastha,Yanhe Xiao,Zhicheng Jiao,Rujapa Thepumnoeysuk,Kasey Halsey,Kasey Halsey,Jing Wu,Thi My Linh Tran,Thi My Linh Tran,Ben Hsieh,Ben Hsieh,Ji Whae Choi,Ji Whae Choi,Dongcui Wang,Martin Vallières,Robin Wang,Scott Collins,Xue Feng,Michael Feldman,Paul J. Zhang,Michael K. Atalay,Ronnie Sebro,Li Yang,Yong Fan,Wei Hua Liao,Harrison X. Bai,Harrison X. Bai +26 more
TL;DR: CT radiomics features combined with clinical variables were predictive of COVID-19 severity and progression to critical illness with fairly high accuracy.
Journal ArticleDOI
DICOM Image ANalysis and Archive (DIANA): an Open-Source System for Clinical AI Applications.
Thomas Yi,Ian Pan,Ian Pan,Scott Collins,Fiona Chen,Fiona Chen,Robert Cueto,Ben Hsieh,Celina Hsieh,Celina Hsieh,Jessica L Smith,Li Yang,Weihua Liao,Lisa H. Merck,Harrison X. Bai,Harrison X. Bai,Derek Merck,Derek Merck,Derek Merck +18 more
TL;DR: The DICOM Image ANalysis and Archive (DIANA) system as mentioned in this paper is an open-source, lightweight, and scalable Python interface that enables users to interact with hospital Picture Archiving and Communications Systems (PACS) to access such data.