col blocks we are bridge builder col blocks
COVID Antworten in den wissenschaftlichen Zeitschriften der Welt


25 Ergebisse       Seite 1

 [1] 
Springer Science and Business Media LLC: Nature Machine Intelligence
  Original Artikel Datum Titel Autoren   Alle Autoren
1 [GO] 2024―Dez―31 ARNLE model identifies prevalence potential of SARS-CoV-2 variants Yuqi Liu, Jing Li, Peihan Li, Yehong Yang, Kaiying Wang, Jinhui Li, et al. (+7)
2 [GO] 2024―Feb―07 Audio-based AI classifiers show no evidence of improved COVID-19 screening over simple symptoms checkers Harry Coppock, George Nicholson, Ivan Kiskin, Vasiliki Koutra, Kieran Baker, Jobie Budd, et al. (+19)
3 [GO] 2022―Okt―21 Forecasting SARS-CoV-2 transmission and clinical risk at small spatial scales by the application of machine learning architectures to syndromic surveillance data Thomas Ward, Alexander Johnsen, Stanley Ng, François Chollet
4 [GO] 2022―Jun―22 Privacy debate obscures pandemic power shifts
5 [GO] 2022―Mai―23 An interpretable deep learning workflow for discovering subvisual abnormalities in CT scans of COVID-19 inpatients and survivors Longxi Zhou, Xianglin Meng, Yuxin Huang, Kai Kang, Juexiao Zhou, Yuetan Chu, et al. (+13)
6 [GO] 2022―Apr―08 Author Correction: Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence Xiang Bai, Hanchen Wang, Liya Ma, Yongchao Xu, Jiefeng Gan, Ziwei Fan, et al. (+40)
7 [GO] 2021―Dez―15 Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence Xiang Bai, Hanchen Wang, Liya Ma, Yongchao Xu, Jiefeng Gan, Ziwei Fan, et al. (+40)
8 [GO] 2021―Mai―31 AI for radiographic COVID-19 detection selects shortcuts over signal Alex J. DeGrave, Joseph D. Janizek, Su-In Lee
9 [GO] 2021―Mrz―18 AI, COVID-19 and the long haul
10 [GO] 2021―Mrz―15 Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans Michael Roberts, Derek Driggs, Matthew Thorpe, Julian Gilbey, Michael Yeung, Stephan Ursprung, et al. (+10)
11 [GO] 2021―Feb―01 A deep learning framework for high-throughput mechanism-driven phenotype compound screening and its application to COVID-19 drug repurposing Thai-Hoang Pham, Yue Qiu, Jucheng Zeng, Lei Xie, Ping Zhang
12 [GO] 2020―Nov―12 Replication of a mortality prediction model in Dutch patients with COVID-19 Marian J. R. Quanjel, Thijs C. van Holten, Pieternel C. Gunst-van der Vliet, Jette Wielaard, Bekir Karakaya, Maaike Söhne, et al. (+2)
13 [GO] 2020―Nov―12 External validation demonstrates limited clinical utility of the interpretable mortality prediction model for patients with COVID-19 Matthew Barish, Siavash Bolourani, Lawrence F. Lau, Sareen Shah, Theodoros P. Zanos
14 [GO] 2020―Nov―12 Limited applicability of a COVID-19 specific mortality prediction rule to the intensive care setting C. Dupuis, E. De Montmollin, M. Neuville, B. Mourvillier, S. Ruckly, J. F. Timsit
15 [GO] 2020―Okt―13 The rise of robots in surgical environments during COVID-19 Ajmal Zemmar, Andres M. Lozano, Bradley J. Nelson
16 [GO] 2020―Aug―12 Reply to: Clinical interpretation of an interpretable prognostic model for patients with COVID-19 Ye Yuan, Jorge Goncalves, Yan Xiao, Hai-Tao Zhang, Hui Xu, Zhiguo Cao
17 [GO] 2020―Aug―12 Clinical interpretation of an interpretable prognostic model for patients with COVID-19 Daniele Roberto Giacobbe
18 [GO] 2020―Jun―16 Tracking the debate on COVID-19 surveillance tools Yann Sweeney
19 [GO] 2020―Jun―16 Finding a role for AI in the pandemic
20 [GO] 2020―Mai―22 Artificial intelligence cooperation to support the global response to COVID-19 Miguel Luengo-Oroz, Katherine Hoffmann Pham, Joseph Bullock, Robert Kirkpatrick, Alexandra Luccioni, Sasha Rubel, et al. (+6)
21 [GO] 2020―Mai―22 Machine Learning for COVID-19 needs global collaboration and data-sharing Nathan Peiffer-Smadja, Redwan Maatoug, François-Xavier Lescure, Eric D’Ortenzio, Joëlle Pineau, Jean-Rémi King
22 [GO] 2020―Mai―22 The challenges of deploying artificial intelligence models in a rapidly evolving pandemic Yipeng Hu, Joseph Jacob, Geoffrey J. M. Parker, David J. Hawkes, John R. Hurst, Danail Stoyanov
23 [GO] 2020―Mai―14 An interpretable mortality prediction model for COVID-19 patients Li Yan, Hai-Tao Zhang, Jorge Goncalves, Yang Xiao, Maolin Wang, Yuqi Guo, et al. (+24)
24 [GO] 2020―Apr―27 Publisher Correction: Pandemic data challenges
25 [GO] 2020―Apr―08 Pandemic data challenges
 [1] 

25 Ergebisse       Seite 1


[de][en]

Letzte Änderung 2023―Okt―27 12:08:13 UTC

© Daten-Quadrat 2022       Done in 0.003 sec