Zobrazeno 1 - 10
of 541
pro vyhledávání: '"TIGNANELLI, Christopher"'
Autor:
Legler, Sean, Diehl, Matthew, Hilliard, Brian, Olson, Andrew, Markowitz, Rebecca, Tignanelli, Christopher, Melton, Genevieve B, Broccard, Alain, Kirsch, Jonathan, Usher, Michael
Publikováno v:
Journal of Medical Internet Research, Vol 23, Iss 4, p e25987 (2021)
BackgroundThe increasing incidence of COVID-19 infection has challenged health care systems to increase capacity while conserving personal protective equipment (PPE) supplies and minimizing nosocomial spread. Telemedicine shows promise to address the
Externí odkaz:
https://doaj.org/article/b46d629f242c4e48ae4259959c418794
Autor:
Tignanelli, Christopher J.1,2,3,4 (AUTHOR) ctignane@umn.edu, Shah, Surbhi5 (AUTHOR), Vock, David6 (AUTHOR), Siegel, Lianne6 (AUTHOR), Serrano, Carlos6 (AUTHOR), Haut, Elliott7 (AUTHOR), Switzer, Sean8 (AUTHOR), Martin, Christie L.9 (AUTHOR), Rizvi, Rubina2,3 (AUTHOR), Peta, Vincent1 (AUTHOR), Jenkins, Peter C.10 (AUTHOR), Lemke, Nicholas1 (AUTHOR), Thyvalikakath, Thankam11,12 (AUTHOR), Osheroff, Jerome A.13 (AUTHOR), Torres, Denise14 (AUTHOR), Vawdrey, David15 (AUTHOR), Callcut, Rachael A.16 (AUTHOR), Butler, Mary3,17 (AUTHOR), Melton, Genevieve B.1,2,3 (AUTHOR)
Publikováno v:
Implementation Science. 8/5/2024, Vol. 19 Issue 1, p1-11. 11p.
Autor:
Silverman, Greg M., Finzel, Raymond L., Heinz, Michael V., Vasilakes, Jake, Solinsky, Jacob C., McEwan, Reed, Knoll, Benjamin C., Tignanelli, Christopher J., Liu, Hongfang, Xu, Hua, Jiang, Xiaoqian, Melton, Genevieve B., Pakhomov, Serguei VS
Our objective in this study is to investigate the behavior of Boolean operators on combining annotation output from multiple Natural Language Processing (NLP) systems across multiple corpora and to assess how filtering by aggregation of Unified Medic
Externí odkaz:
http://arxiv.org/abs/2108.02255
Autor:
Sun, Ju, Peng, Le, Li, Taihui, Adila, Dyah, Zaiman, Zach, Melton, Genevieve B., Ingraham, Nicholas, Murray, Eric, Boley, Daniel, Switzer, Sean, Burns, John L., Huang, Kun, Allen, Tadashi, Steenburg, Scott D., Gichoya, Judy Wawira, Kummerfeld, Erich, Tignanelli, Christopher
Importance: An artificial intelligence (AI)-based model to predict COVID-19 likelihood from chest x-ray (CXR) findings can serve as an important adjunct to accelerate immediate clinical decision making and improve clinical decision making. Despite si
Externí odkaz:
http://arxiv.org/abs/2106.02118
Autor:
An, Selena J., Smith, Charlotte, Davis, Dylane, Gallaher, Jared, Tignanelli, Christopher J., Charles, Anthony
Publikováno v:
In Journal of Surgical Research April 2024 296:209-216
Autor:
Morris, Rachel, Al Tannir, Abdul Hafiz, Chipman, Jeffrey, Charles, Anthony, Ingraham, Nicholas E., Kalinoski, Michael, Bolden, Leah, Siegel, Lianne, Tignanelli, Christopher J.
Publikováno v:
In The American Journal of Surgery May 2024
Autor:
Anderson, Blake, Atwater, Riannon C, Avula, Nandini, Beckman, Kenny B, Belani, Hrishikesh K, Boulware, David R, Bramante, Carolyn T, Brea, Jannis, Broedlow, Courtney A, Buse, John B, Campora, Paula, Challa, Anup, Charles, Jill, Christensen, Grace, Christiansen, Theresa, Cohen, Ken, Connelly, Bo, Datta, Srijani, Deng, Nikita, Dunn, Alex T, Erickson, Spencer M, Fairbairn, Faith M, Fenno, Sarah L, Fraser, Daniel J, Fricton, Regina D, Griffiths, Gwen, Hagen, Aubrey A, Hartman, Katrina M, Hendrickson, Audrey F, Huling, Jared D, Ingraham, Nicholas E, Jeng, Arthur C, Johnson, Darrell M, Karger, Amy B, Klatt, Nichole R, Kuehl, Erik A, LaBar, Derek D, Lee, Samuel, Liebovitz, David M, Lindberg, Sarah, Luke, Darlette G, Machicado, Rosario, Mohamud, Zeinab, Murray, Thomas A, Ngonyama, Rumbidzai, Nicklas, Jacinda M, Odde, David J, Parrens, Elliott, Parra, Daniela, Patel, Barkha, Proper, Jennifer L, Pullen, Matthew F, Puskarich, Michael A, Rao, Via, Reddy, Neha V, Reddy, Naveen, Rypka, Katelyn J, Saveraid, Hanna G, Seloadji, Paula, Shahriar, Arman, Sherwood, Nancy, Siegart, Jamie L, Siegel, Lianne K, Simmons, Lucas, Sinelli, Isabella, Singh, Palak, Snyder, Andrew, Stauffer, Maxwell T, Thompson, Jennifer, Tignanelli, Christopher J, Tople, Tannon L, Tordsen, Walker J, Watson, Ray HB, Wu, Beiqing, Zaman, Adnin, Zolik, Madeline R, Zinkl, Lena, Anderson, Blake J, Thompson, Jennifer L, Pullen, Matthew, Wirtz, Esteban Lemus, Sherwood, Nancy E, Lindberg, Sarah M, Beckman, Kenneth B, Rose, Michael R, Mehta, Tanvi, Griffiths, Gwendolyn, Bhat, Neeta S
Publikováno v:
In The Lancet Infectious Diseases October 2023 23(10):1119-1129
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