Zobrazeno 1 - 10
of 453
pro vyhledávání: '"Reich, David L."'
Autor:
Vaid, Akhil, Lampert, Joshua, Lee, Juhee, Sawant, Ashwin, Apakama, Donald, Sakhuja, Ankit, Soroush, Ali, Bick, Sarah, Abbott, Ethan, Gomez, Hernando, Hadley, Michael, Lee, Denise, Landi, Isotta, Duong, Son Q, Bussola, Nicole, Nabeel, Ismail, Muehlstedt, Silke, Freeman, Robert, Kovatch, Patricia, Carr, Brendan, Wang, Fei, Glicksberg, Benjamin, Argulian, Edgar, Lerakis, Stamatios, Khera, Rohan, Reich, David L., Kraft, Monica, Charney, Alexander, Nadkarni, Girish
Generative Large Language Models (LLMs) hold significant promise in healthcare, demonstrating capabilities such as passing medical licensing exams and providing clinical knowledge. However, their current use as information retrieval tools is limited
Externí odkaz:
http://arxiv.org/abs/2401.02851
Autor:
Gulamali, Faris F., Sawant, Ashwin S., Liharska, Lora, Horowitz, Carol R., Chan, Lili, Kovatch, Patricia H., Hofer, Ira, Singh, Karandeep, Richardson, Lynne D., Mensah, Emmanuel, Charney, Alexander W, Reich, David L., Hu, Jianying, Nadkarni, Girish N.
The adoption of diagnosis and prognostic algorithms in healthcare has led to concerns about the perpetuation of bias against disadvantaged groups of individuals. Deep learning methods to detect and mitigate bias have revolved around modifying models,
Externí odkaz:
http://arxiv.org/abs/2311.03425
Akademický článek
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Akademický článek
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Autor:
Moskowitz, Gil, Egorova, Natalia N., Hazan, Ariela, Freeman, Robert, Reich, David L., Leipzig, Rosanne M.
Publikováno v:
In The Joint Commission Journal on Quality and Patient Safety April 2020 46(4):199-206
Publikováno v:
In The Journal of Thoracic and Cardiovascular Surgery March 2020 159(3):943-953
Autor:
AGARWAL, PARUL, POERAN, JASHVANT, MEYER, JOANNE, ROGERS, LINDA, REICH, DAVID L., MAZUMDAR, MADHU
Publikováno v:
International Journal for Quality in Health Care, 2019 Oct 01. 31(8), G53-G59.
Externí odkaz:
https://www.jstor.org/stable/48626055
Autor:
Vaid, Akhil, Somani, Sulaiman, Russak, Adam J, De Freitas, Jessica K, Chaudhry, Fayzan F, Paranjpe, Ishan, Johnson, Kipp W, Lee, Samuel J, Miotto, Riccardo, Richter, Felix, Zhao, Shan, Beckmann, Noam D, Naik, Nidhi, Kia, Arash, Timsina, Prem, Lala, Anuradha, Paranjpe, Manish, Golden, Eddye, Danieletto, Matteo, Singh, Manbir, Meyer, Dara, O'Reilly, Paul F, Huckins, Laura, Kovatch, Patricia, Finkelstein, Joseph, Freeman, Robert M., Argulian, Edgar, Kasarskis, Andrew, Percha, Bethany, Aberg, Judith A, Bagiella, Emilia, Horowitz, Carol R, Murphy, Barbara, Nestler, Eric J, Schadt, Eric E, Cho, Judy H, Cordon-Cardo, Carlos, Fuster, Valentin, Charney, Dennis S, Reich, David L, Bottinger, Erwin P, Levin, Matthew A, Narula, Jagat, Fayad, Zahi A, Just, Allan C, Charney, Alexander W, Nadkarni, Girish N, Glicksberg, Benjamin S
Publikováno v:
Journal of Medical Internet Research, Vol 22, Iss 11, p e24018 (2020)
BackgroundCOVID-19 has infected millions of people worldwide and is responsible for several hundred thousand fatalities. The COVID-19 pandemic has necessitated thoughtful resource allocation and early identification of high-risk patients. However, ef
Externí odkaz:
https://doaj.org/article/d26bd88c400844cfbae830c0f468bbfa
Publikováno v:
In Journal of Cardiothoracic and Vascular Anesthesia February 2017 31(1):329-333