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. |
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| 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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| ISSN: | 2515-5091 |
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| DOI: | 10.1093/jncics/pkae086 |
