Zobrazeno 1 - 10
of 537
pro vyhledávání: '"Lipori P"'
Autor:
Peng, Cheng, Yang, Xi, Chen, Aokun, Smith, Kaleb E, PourNejatian, Nima, Costa, Anthony B, Martin, Cheryl, Flores, Mona G, Zhang, Ying, Magoc, Tanja, Lipori, Gloria, Mitchell, Duane A, Ospina, Naykky S, Ahmed, Mustafa M, Hogan, William R, Shenkman, Elizabeth A, Guo, Yi, Bian, Jiang, Wu, Yonghui
There is enormous enthusiasm and concerns in using large language models (LLMs) in healthcare, yet current assumptions are all based on general-purpose LLMs such as ChatGPT. This study develops a clinical generative LLM, GatorTronGPT, using 277 billi
Externí odkaz:
http://arxiv.org/abs/2305.13523
Autor:
Yang, Xi, Chen, Aokun, PourNejatian, Nima, Shin, Hoo Chang, Smith, Kaleb E, Parisien, Christopher, Compas, Colin, Martin, Cheryl, Flores, Mona G, Zhang, Ying, Magoc, Tanja, Harle, Christopher A, Lipori, Gloria, Mitchell, Duane A, Hogan, William R, Shenkman, Elizabeth A, Bian, Jiang, Wu, Yonghui
There is an increasing interest in developing artificial intelligence (AI) systems to process and interpret electronic health records (EHRs). Natural language processing (NLP) powered by pretrained language models is the key technology for medical AI
Externí odkaz:
http://arxiv.org/abs/2203.03540
Autor:
Cheng Peng, Xi Yang, Aokun Chen, Kaleb E. Smith, Nima PourNejatian, Anthony B. Costa, Cheryl Martin, Mona G. Flores, Ying Zhang, Tanja Magoc, Gloria Lipori, Duane A. Mitchell, Naykky S. Ospina, Mustafa M. Ahmed, William R. Hogan, Elizabeth A. Shenkman, Yi Guo, Jiang Bian, Yonghui Wu
Publikováno v:
npj Digital Medicine, Vol 6, Iss 1, Pp 1-10 (2023)
Abstract There are enormous enthusiasm and concerns in applying large language models (LLMs) to healthcare. Yet current assumptions are based on general-purpose LLMs such as ChatGPT, which are not developed for medical use. This study develops a gene
Externí odkaz:
https://doaj.org/article/ef2ddec4ebcf44af961dc0a1bd072263
Autor:
Tezcan Ozrazgat-Baslanti, Yuanfang Ren, Esra Adiyeke, Rubab Islam, Haleh Hashemighouchani, Matthew Ruppert, Shunshun Miao, Tyler Loftus, Crystal Johnson-Mann, R W M A Madushani, Elizabeth A Shenkman, William Hogan, Mark S Segal, Gloria Lipori, Azra Bihorac, Charles Hobson
Publikováno v:
PLoS ONE, Vol 19, Iss 4, p e0299332 (2024)
Standard race adjustments for estimating glomerular filtration rate (GFR) and reference creatinine can yield a lower acute kidney injury (AKI) and chronic kidney disease (CKD) prevalence among African American patients than non-race adjusted estimate
Externí odkaz:
https://doaj.org/article/b45cec4f03eb41c498b1f04aa93c92cc
Autor:
Datta, Shounak, Loftus, Tyler J., Ruppert, Matthew M., Giordano, Chris, Adhikari, Lasith, Peng, Ying-Chih, Ren, Yuanfang, Shickel, Benjamin, Feng, Zheng, Lipori, Gloria, Upchurch Jr., Gilbert R., Li, Xiaolin, Rashidi, Parisa, Ozrazgat-Baslanti, Tezcan, Bihorac, Azra
To test the hypothesis that accuracy, discrimination, and precision in predicting postoperative complications improve when using both preoperative and intraoperative data input features versus preoperative data alone. Models that predict postoperativ
Externí odkaz:
http://arxiv.org/abs/1910.12895
Autor:
Ruppert, Matthew M, Lipori, Jessica, Patel, Sandip, Ingersent, Elizabeth, Ozrazgat-Baslanti, Tezcan, Loftus, Tyler, Rashidi, Parisa, Bihorac, Azra
Purpose: Summarize ICU delirium prediction models published within the past five years. Methods: Electronic searches were conducted in April 2019 using PubMed, Embase, Cochrane Central, Web of Science, and CINAHL to identify peer reviewed studies pub
Externí odkaz:
http://arxiv.org/abs/1911.02548
Autor:
Ozrazgat-Baslanti, Tezcan, Motaei, Amir, Islam, Rubab, Hashemighouchani, Haleh, Ruppert, Matthew, Madushani, R. W. M. A., Segal, Mark S., Lipori, Gloria, Bihorac, Azra, Hobson, Charles
Background: Acute kidney injury (AKI) is a common complication in hospitalized patients and a common cause for chronic kidney disease (CKD) and increased hospital cost and mortality. By timely detection of AKI and AKI progression, effective preventiv
Externí odkaz:
http://arxiv.org/abs/1903.03149
Autor:
Xi Yang, Aokun Chen, Nima PourNejatian, Hoo Chang Shin, Kaleb E. Smith, Christopher Parisien, Colin Compas, Cheryl Martin, Anthony B. Costa, Mona G. Flores, Ying Zhang, Tanja Magoc, Christopher A. Harle, Gloria Lipori, Duane A. Mitchell, William R. Hogan, Elizabeth A. Shenkman, Jiang Bian, Yonghui Wu
Publikováno v:
npj Digital Medicine, Vol 5, Iss 1, Pp 1-9 (2022)
Abstract There is an increasing interest in developing artificial intelligence (AI) systems to process and interpret electronic health records (EHRs). Natural language processing (NLP) powered by pretrained language models is the key technology for m
Externí odkaz:
https://doaj.org/article/557f807a3c23460bb1a9275a8e73d09f
Autor:
Kostka K, Duarte-Salles T, Prats-Uribe A, Sena AG, Pistillo A, Khalid S, Lai LYH, Golozar A, Alshammari TM, Dawoud DM, Nyberg F, Wilcox AB, Andryc A, Williams A, Ostropolets A, Areia C, Jung CY, Harle CA, Reich CG, Blacketer C, Morales DR, Dorr DA, Burn E, Roel E, Tan EH, Minty E, DeFalco F, de Maeztu G, Lipori G, Alghoul H, Zhu H, Thomas JA, Bian J, Park J, Martínez Roldán J, Posada JD, Banda JM, Horcajada JP, Kohler J, Shah K, Natarajan K, Lynch KE, Liu L, Schilling LM, Recalde M, Spotnitz M, Gong M, Matheny ME, Valveny N, Weiskopf NG, Shah N, Alser O, Casajust P, Park RW, Schuff R, Seager S, DuVall SL, You SC, Song S, Fernández-Bertolín S, Fortin S, Magoc T, Falconer T, Subbian V, Huser V, Ahmed WUR, Carter W, Guan Y, Galvan Y, He X, Rijnbeek PR, Hripcsak G, Ryan PB, Suchard MA, Prieto-Alhambra D
Publikováno v:
Clinical Epidemiology, Vol Volume 14, Pp 369-384 (2022)
Kristin Kostka,1,2 Talita Duarte-Salles,3 Albert Prats-Uribe,4 Anthony G Sena,5,6 Andrea Pistillo,3 Sara Khalid,4 Lana YH Lai,7 Asieh Golozar,8,9 Thamir M Alshammari,10 Dalia M Dawoud,11 Fredrik Nyberg,12 Adam B Wilcox,13,14 Alan Andryc,5 Andrew Will
Externí odkaz:
https://doaj.org/article/43c4f430e1454e9cbeb26bd9495b328c
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