Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Thomas Yi"'
Autor:
Fernando Viamont Guerra, Thomas Yi Teh Lee, Edward Patrick Sinibaldi Eagers, Marcelo Marcucci Chakkour, Noé de Marchi Neto, Jordanna Maria Pereira Bergamasco, Marco Túlio Costa
Publikováno v:
Journal of the Foot & Ankle, Vol 18, Iss 1 (2024)
Objetivo: Descrever perfil epidemiológico de pacientes com pé diabético acompanhados em um ambulatório de ortopedia. Métodos: Estudo retrospectivo que avaliou o prontuário de 500 pacientes. Estudamos o motivo da consulta inicial, idade, tabag
Externí odkaz:
https://doaj.org/article/2618317857734a13ab1dc5e510c4830d
Autor:
Thomas Yi Teh Lee, Lucas Alves Nemer, Alessandro Ayres Vianna, Yussef Ali Abdouni, Fabrício Luz Cardoso, Antonio Carlos da Costa
Publikováno v:
Acta Ortopédica Brasileira, Vol 32, Iss spe1 (2024)
ABSTRACT Objective: To determine the epidemiological profile of patients treated at a philanthropic hospital specialized in Orthopedics and Traumatology, located in a significant urban center, and evaluate the efficacy of initial empirical antibiotic
Externí odkaz:
https://doaj.org/article/08d517b434b0477787c989ea6244899e
Autor:
Morgan Danowski, Ashley Antwi, Charles Brunette, Elizabeth Harris, Preetika Kulkarni, Katharine MacIsaac, Thomas Yi, Matthew Lebo, Jason Vassy
Publikováno v:
Genetics in Medicine Open, Vol 2, Iss , Pp 101400- (2024)
Externí odkaz:
https://doaj.org/article/5b70aa410c104f49b7d7e34dab8c1a70
Autor:
Yu He, Ian Pan, Bingting Bao, Kasey Halsey, Marcello Chang, Hui Liu, Shuping Peng, Ronnie A. Sebro, Jing Guan, Thomas Yi, Andrew T. Delworth, Feyisope Eweje, Lisa J. States, Paul J. Zhang, Zishu Zhang, Jing Wu, Xianjing Peng, Harrison X. Bai
Publikováno v:
EBioMedicine, Vol 62, Iss , Pp 103121- (2020)
Background: To develop a deep learning model to classify primary bone tumors from preoperative radiographs and compare performance with radiologists. Methods: A total of 1356 patients (2899 images) with histologically confirmed primary bone tumors an
Externí odkaz:
https://doaj.org/article/ff40027e7d894df780d04f1286a8999d
Akademický článek
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Autor:
Jason L. Vassy, Benjamin J. Kerman, Elizabeth J. Harris, Amy A. Lemke, Marla L. Clayman, Ashley A. Antwi, Katharine MacIsaac, Thomas Yi, Charles A. Brunette
Publikováno v:
European Journal of Human Genetics.
Publikováno v:
Emergency Radiology. 29:663-670
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
Autor:
Ben Hsieh, Robert Cueto, Lisa H. Merck, Thomas Yi, Fiona Chen, Weihua Liao, Derek Merck, Li Yang, Celina Hsieh, Ian Pan, Scott Collins, Jessica L Smith, Harrison X. Bai
Publikováno v:
J Digit Imaging
In the era of data-driven medicine, rapid access and accurate interpretation of medical images are becoming increasingly important. The DICOM Image ANalysis and Archive (DIANA) system is an open-source, lightweight, and scalable Python interface that
Autor:
Jason L. Vassy, Benjamin J. Kerman, Elizabeth J. Harris, Amy A. Lemke, Marla L. Clayman, Ashley A. Antwi, Katharine MacIsaac, Thomas Yi, Charles A. Brunette
BackgroundClinical implementation of polygenic risk scores (PRS) for precision prevention depends on the utility and barriers primary care physicians (PCPs) perceive to their use.MethodsAn online survey asked PCPs in a national database about the cli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e884bcf5f609754ca0fd2fb64865f057
https://doi.org/10.1101/2022.09.29.22280488
https://doi.org/10.1101/2022.09.29.22280488