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original article |
Date |
Title |
Authors Max. 6 Authors |
| 1 |
[GO] |
2024―Dec―31 |
ARNLE model identifies prevalence potential of SARS-CoV-2 variants |
Yuqi Liu, Jing Li, Peihan Li, Yehong Yang, Kaiying Wang, Jinhui Li, Lang Yang, Jiangfeng Liu, Leili Jia, Aiping Wu, Juntao Yang, Peng Li, Hongbin Song |
| 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, Richard Payne, Emma Karoune, David Hurley, Alexander Titcomb, Sabrina Egglestone, Ana Tendero Cañadas, Lorraine Butler, Radka Jersakova, Jonathon Mellor, Selina Patel, Tracey Thornley, Peter Diggle, Sylvia Richardson, Josef Packham, Björn W. Schuller, Davide Pigoli, Steven Gilmour, Stephen Roberts, Chris Holmes |
| 3 |
[GO] |
2022―Oct―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―May―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, Haoyang Li, Dexuan Xie, Jiannan Zhang, Weizhen Yang, Na Bai, Yi Zhao, Mingyan Zhao, Guohua Wang, Lawrence Carin, Xigang Xiao, Kaijiang Yu, Zhaowen Qiu, Xin Gao |
| 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, Fan Yang, Ke Ma, Jiehua Yang, Song Bai, Chang Shu, Xinyu Zou, Renhao Huang, Changzheng Zhang, Xiaowu Liu, Dandan Tu, Chuou Xu, Wenqing Zhang, Xi Wang, Anguo Chen, Yu Zeng, Dehua Yang, Ming-Wei Wang, Nagaraj Holalkere, Neil J. Halin, Ihab R. Kamel, Jia Wu, Xuehua Peng, Xiang Wang, Jianbo Shao, Pattanasak Mongkolwat, Jianjun Zhang, Weiyang Liu, Michael Roberts, Zhongzhao Teng, Lucian Beer, Lorena E. Sanchez, Evis Sala, Daniel L. Rubin, Adrian Weller, Joan Lasenby, Chuansheng Zheng, Jianming Wang, Zhen Li, Carola Schönlieb, Tian Xia |
| 7 |
[GO] |
2021―Dec―15 |
Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence |
Xiang Bai, Hanchen Wang, Liya Ma, Yongchao Xu, Jiefeng Gan, Ziwei Fan, Fan Yang, Ke Ma, Jiehua Yang, Song Bai, Chang Shu, Xinyu Zou, Renhao Huang, Changzheng Zhang, Xiaowu Liu, Dandan Tu, Chuou Xu, Wenqing Zhang, Xi Wang, Anguo Chen, Yu Zeng, Dehua Yang, Ming-Wei Wang, Nagaraj Holalkere, Neil J. Halin, Ihab R. Kamel, Jia Wu, Xuehua Peng, Xiang Wang, Jianbo Shao, Pattanasak Mongkolwat, Jianjun Zhang, Weiyang Liu, Michael Roberts, Zhongzhao Teng, Lucian Beer, Lorena E. Sanchez, Evis Sala, Daniel L. Rubin, Adrian Weller, Joan Lasenby, Chuangsheng Zheng, Jianming Wang, Zhen Li, Carola Schönlieb, Tian Xia |
| 8 |
[GO] |
2021―May―31 |
AI for radiographic COVID-19 detection selects shortcuts over signal |
Alex J. DeGrave, Joseph D. Janizek, Su-In Lee |
| 9 |
[GO] |
2021―Mar―18 |
AI, COVID-19 and the long haul |
|
| 10 |
[GO] |
2021―Mar―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, Angelica I. Aviles-Rivero, Christian Etmann, Cathal McCague, Lucian Beer, Jonathan R. Weir-McCall, Zhongzhao Teng, Effrossyni Gkrania-Klotsas, James H. F. Rudd, Evis Sala, Carola-Bibiane Schönlieb |
| 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, Hazra S. Moeniralam, Jan C. Grutters |
| 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―Oct―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―May―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, Cedric Wachholz, Moez Chakchouk, Phillippa Biggs, Tim Nguyen, Tina Purnat, Bernardo Mariano |
| 21 |
[GO] |
2020―May―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―May―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―May―14 |
An interpretable mortality prediction model for COVID-19 patients |
Li Yan, Hai-Tao Zhang, Jorge Goncalves, Yang Xiao, Maolin Wang, Yuqi Guo, Chuan Sun, Xiuchuan Tang, Liang Jing, Mingyang Zhang, Xiang Huang, Ying Xiao, Haosen Cao, Yanyan Chen, Tongxin Ren, Fang Wang, Yaru Xiao, Sufang Huang, Xi Tan, Niannian Huang, Bo Jiao, Cheng Cheng, Yong Zhang, Ailin Luo, Laurent Mombaerts, Junyang Jin, Zhiguo Cao, Shusheng Li, Hui Xu, Ye Yuan |
| 24 |
[GO] |
2020―Apr―27 |
Publisher Correction: Pandemic data challenges |
|
| 25 |
[GO] |
2020―Apr―08 |
Pandemic data challenges |
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