Artificial Intelligence-based Screening
Artificial Intelligence-Based Screening is a computational methodology that employs machine learning and pattern recognition algorithms to analyze biomedical data for the early identification of malignant abnormalities, distinguishing itself from conventional screening techniques through automated, data-driven prediction models that improve accuracy, scalability, and speed in detecting cancer at preclinical stages.
616
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4.4K
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1.7K
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2017–2026
547
Parents
616
International evaluation of an AI system for breast cancer screening
Scott Mayer McKinney, Marcin Sieniek, Varun Godbole et al. · Nature · 2020 · 3.1K citations · Full text
Can AI Help in Screening Viral and COVID-19 Pneumonia?
Muhammad E. H. Chowdhury, Tawsifur Rahman, Amith Khandakar et al. · IEEE Access · 2020 · 1.9K citations · Full text
Evaluation and accurate diagnoses of pediatric diseases using artificial intelligence
Huiying Liang, Brian Tsui, Hao Ni et al. · Nature Medicine · 2019 · 711 citations
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Harvard University
Cambridge, United States
16 h-index
58 publications
6K citations

Sun Yat-sen University
Guangzhou, China
13 h-index
77 publications
11K citations
University of Washington
Seattle, United States
12 h-index
17 publications
849 citations
Yonsei University
Seoul, South Korea
11 h-index
30 publications
2.7K citations

Karolinska Institutet
Stockholm, Sweden
10 h-index
35 publications
4.3K citations
Istituti di Ricovero e Cura a Carattere Scientifico
Rome, Italy
10 h-index
27 publications
2.6K citations
Mayo Clinic in Arizona
Scottsdale, United States
10 h-index
58 publications
4.9K citations
Humanitas University
Rozzano, Italy
10 h-index
23 publications
2K citations
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13 publications · 788 citations
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12 publications · 797 citations
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9 publications · 2.4K citations
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8 publications · 190 citations
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