Zobrazeno 1 - 10
of 670
pro vyhledávání: '"MELTON, Genevieve B."'
Autor:
Zhou, Shuang, Xu, Zidu, Zhang, Mian, Xu, Chunpu, Guo, Yawen, Zhan, Zaifu, Ding, Sirui, Wang, Jiashuo, Xu, Kaishuai, Fang, Yi, Xia, Liqiao, Yeung, Jeremy, Zha, Daochen, Melton, Genevieve B., Lin, Mingquan, Zhang, Rui
Automatic disease diagnosis has become increasingly valuable in clinical practice. The advent of large language models (LLMs) has catalyzed a paradigm shift in artificial intelligence, with growing evidence supporting the efficacy of LLMs in diagnost
Externí odkaz:
http://arxiv.org/abs/2409.00097
Methodological advancements to automate the generation of differential diagnosis (DDx) to predict a list of potential diseases as differentials given patients' symptom descriptions are critical to clinical reasoning and applications such as decision
Externí odkaz:
http://arxiv.org/abs/2407.07330
Autor:
Tourani, Roshan, Murphree, Dennis H., Sheka, Adam, Melton, Genevieve B., Kor, Daryl J., Simon, Gyorgy J.
Publikováno v:
In Artificial Intelligence In Medicine August 2024 154
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:
Boatman, Sonja, Kohn, Julia, Mott, Sarah L., Gaertner, Wolfgang B., Madoff, Robert D., Melton, Genevieve B., Shaukat, Aasma, Hassan, Imran, Goffredo, Paolo
Publikováno v:
In Journal of Gastrointestinal Surgery May 2024 28(5):703-709
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
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Boatman, Sonja, Mott, Sarah L., Shaukat, Aasma, Melton, Genevieve B., Gaertner, Wolfgang B., Weiser, Martin, Ikramuddin, Sayeed, Madoff, Robert, Hassan, Imran, Goffredo, Paolo
Publikováno v:
In Surgery March 2023 173(3):674-680
Autor:
Boatman, Sonja, Kohn, Julia, Mott, Sarah L., Marmor, Schelomo, Madoff, Robert D., Gaertner, Wolfgang B., Shaukat, Aasma, Melton, Genevieve B., Hassan, Imran, Goffredo, Paolo
Publikováno v:
In Techniques and Innovations in Gastrointestinal Endoscopy 2023 25(4):352-360