Deep Learning Diagnostics
Deep Learning Diagnostics is a diagnostic framework within clinical artificial intelligence that employs deep neural networks to automatically identify sepsis from complex, high-dimensional biomedical data by learning hierarchical representations and context-specific patterns distinct from traditional rule-based or shallow machine learning approaches.
1.7K
Publications
102.5K
Citations
9.3K
Authors
2.7K
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Publications per year
2017–2026
1.6K
Parents
1.7K
A deep learning algorithm using CT images to screen for Corona virus disease (COVID-19)
Shuai Wang, Bo-Kyeong Kang, Jinlu Ma et al. · European Radiology · 2021 · 1.1K citations · Full text
A deep learning algorithm using CT images to screen for Corona Virus Disease (COVID-19)
Shuai Wang, Bo-Kyeong Kang, Jinlu Ma et al. · medRxiv · 2020 · 1K citations · Full text
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Shanghai Jiao Tong University
Shanghai, China
20 h-index
108 publications
4.9K citations

Sun Yat-sen University
Guangzhou, China
19 h-index
135 publications
19.9K citations

Capital Medical University
Beijing, China
19 h-index
63 publications
4.7K citations

Central South University
Changsha, China
19 h-index
94 publications
6.6K citations

King Abdulaziz University
Jeddah, Saudi Arabia
19 h-index
45 publications
2.5K citations

Sichuan University
Chengdu, China
18 h-index
49 publications
5K citations

University of Leicester
Leicester, United Kingdom
18 h-index
37 publications
2K citations
Wuhan University
Wuhan, China
17 h-index
56 publications
5.6K citations
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66 publications · 4.9K citations
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53 publications · 2.9K citations
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34 publications · 1.8K citations
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40 publications · 1.6K citations
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