Artificial intelligence and radiomics enhance the positive predictive value of digital chest tomosynthesis for lung cancer detection within SOS clinical trial

Research article (European Radiology, 2020) · cited 36× · AI/ML
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Artificial intelligence and radiomics enhance the positive predictive value of digital chest tomosynthesis for lung cancer detection within SOS clinical trial

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Artificial intelligence and radiomics enhance the positive predictive value of digital chest tomosynthesis for lung cancer detection within SOS clinical trial is a scholarly article[1].

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  • Artificial intelligence and radiomics enhance the positive predictive value of digital chest tomosynthesis for lung cancer detection within SOS clinical trial's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Artificial intelligence and radiomics enhance the positive predictive value of digital chest tomosynthesis for lung cancer detection within SOS clinical trial. Retrieved May 24, 2026, from https://4ort.xyz/entity/artificial-intelligence-and-radiomics-enhance-the-positive-predictive-value-of-digital-chest-tomosynthesis-for-lung-canc
MLA “Artificial intelligence and radiomics enhance the positive predictive value of digital chest tomosynthesis for lung cancer detection within SOS clinical trial.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/artificial-intelligence-and-radiomics-enhance-the-positive-predictive-value-of-digital-chest-tomosynthesis-for-lung-canc.
BibTeX @misc{4ortxyz_artificial-intelligence-and-radiomics-enhance-the-positive-predictive-value-of-digital-chest-tomosynthesis-for-lung-canc_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Artificial intelligence and radiomics enhance the positive predictive value of digital chest tomosynthesis for lung cancer detection within SOS clinical trial}}, year = {2026}, url = {https://4ort.xyz/entity/artificial-intelligence-and-radiomics-enhance-the-positive-predictive-value-of-digital-chest-tomosynthesis-for-lung-canc}, note = {Accessed: 2026-05-24}}
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