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Clinical utility of an artificial intelligence radiomics-based tool for risk stratification of pulmonary nodules.

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Title: Clinical utility of an artificial intelligence radiomics-based tool for risk stratification of pulmonary nodules.
Authors: Kim RY; Division of Pulmonary, Allergy and Critical Care, Department of Medicine, University of Pennsylvania, Philadelphia, PA, USA., Yee C; NYU Langone Health, New York City, NY, USA., Zeb S; Division of Pulmonary, Allergy and Critical Care, Department of Medicine, University of Pennsylvania, Philadelphia, PA, USA., Steltz J; Division of Pulmonary, Allergy and Critical Care, Department of Medicine, University of Pennsylvania, Philadelphia, PA, USA., Vickers AJ; Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York City, NY, USA., Rendle KA; Department of Family Medicine and Community Health, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA., Mitra N; Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA, USA., Pickup LC; Optellum Ltd, Oxford, UK., DiBardino DM; Division of Pulmonary, Allergy and Critical Care, Department of Medicine, University of Pennsylvania, Philadelphia, PA, USA., Vachani A; Division of Pulmonary, Allergy and Critical Care, Department of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Source: JNCI cancer spectrum [JNCI Cancer Spectr] 2024 Sep 02; Vol. 8 (5).
Publication Type: Journal Article
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 101721827 Publication Model: Print Cited Medium: Internet ISSN: 2515-5091 (Electronic) Linking ISSN: 25155091 NLM ISO Abbreviation: JNCI Cancer Spectr Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Kim+RY%22">Kim RY</searchLink>; Division of Pulmonary, Allergy and Critical Care, Department of Medicine, University of Pennsylvania, Philadelphia, PA, USA.<br /><searchLink fieldCode="AU" term="%22Yee+C%22">Yee C</searchLink>; NYU Langone Health, New York City, NY, USA.<br /><searchLink fieldCode="AU" term="%22Zeb+S%22">Zeb S</searchLink>; Division of Pulmonary, Allergy and Critical Care, Department of Medicine, University of Pennsylvania, Philadelphia, PA, USA.<br /><searchLink fieldCode="AU" term="%22Steltz+J%22">Steltz J</searchLink>; Division of Pulmonary, Allergy and Critical Care, Department of Medicine, University of Pennsylvania, Philadelphia, PA, USA.<br /><searchLink fieldCode="AU" term="%22Vickers+AJ%22">Vickers AJ</searchLink>; Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York City, NY, USA.<br /><searchLink fieldCode="AU" term="%22Rendle+KA%22">Rendle KA</searchLink>; Department of Family Medicine and Community Health, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.<br /><searchLink fieldCode="AU" term="%22Mitra+N%22">Mitra N</searchLink>; Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA, USA.<br /><searchLink fieldCode="AU" term="%22Pickup+LC%22">Pickup LC</searchLink>; Optellum Ltd, Oxford, UK.<br /><searchLink fieldCode="AU" term="%22DiBardino+DM%22">DiBardino DM</searchLink>; Division of Pulmonary, Allergy and Critical Care, Department of Medicine, University of Pennsylvania, Philadelphia, PA, USA.<br /><searchLink fieldCode="AU" term="%22Vachani+A%22">Vachani A</searchLink>; Division of Pulmonary, Allergy and Critical Care, Department of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
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              Text: 2024 Sep 02
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