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Public Health Genomics and Precision Health Knowledge Base (v8.2)
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Last data update: Feb 05, 2023
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Integration of artificial intelligence in lung cancer: Rise of the machine.
Colton Ladbury et al. Cell reports. Medicine 2023 100933
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Prediction of bone metastasis in non-small cell lung cancer based on machine learning.
Meng-Pan Li et al. Frontiers in oncology 2023 121054300
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OWL: an optimized and independently validated machine learning prediction model for lung cancer screening based on the UK Biobank, PLCO, and NLST populations.
Zoucheng Pan et al. EBioMedicine 2023 88104443
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Survival prediction for stage I-IIIA non-small cell lung cancer using deep learning.
Sunyi Zheng et al. Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology 2023 109483
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Artificial Intelligence Assisted Computational Tomographic Detection of Lung Nodules for Prognostic Cancer Examination: A Large-Scale Clinical Trial.
Chao Heng-Sheng et al. Biomedicines 2023 11(1)
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Sybil: A Validated Deep Learning Model to Predict Future Lung Cancer Risk From a Single Low-Dose Chest Computed Tomography.
Mikhael Peter G et al. Journal of clinical oncology : official journal of the American Society of Clinical Oncology 2023 JCO2201345
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Validation of a Deep Learning-Based Model to Predict Lung Cancer Risk Using Chest Radiographs and Electronic Medical Record Data.
Raghu Vineet K et al. JAMA network open 2022 5(12) e2248793
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Diagnostic test accuracy of artificial intelligence-based imaging for lung cancer screening: A systematic review and meta-analysis.
Thong Lay Teng et al. Lung cancer (Amsterdam, Netherlands) 2022 1764-13
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A Novel Deep Learning Model Based on Multi-Scale and Multi-View for Detection of Pulmonary Nodules.
Chen Yang et al. Journal of digital imaging 2022
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Predicting N2 lymph node metastasis in presurgical stage I-II non-small cell lung cancer using multiview radiomics and deep learning method.
Zhang Hanfei et al. Medical physics 2022
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Assessing the efficacy of immunotherapy in lung squamous carcinoma using artificial intelligence neural network.
Li Siqi et al. Frontiers in immunology 2022 131024707
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Artificial intelligence neural network analysis and application of CT imaging features to predict lymph node metastasis in non-small cell lung cancer.
Geng Mingfei et al. Journal of thoracic disease 2022 14(11) 4384-4394
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Leveraging Artificial Intelligence to Improve Accuracy of Lung Cancer Screening
NCI Blog, December 16, 2022
Using Tree-Based Machine Learning for Health Studies: Literature Review and Case Series.
Hu Liangyuan et al. International journal of environmental research and public health 2022 19(23)
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Artificial intelligence: A critical review of applications for lung nodule and lung cancer.
de Margerie-Mellon Constance et al. Diagnostic and interventional imaging 2022
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Investigation of small lung lesion detection for lung cancer screening in low dose FDG PET imaging by deep neural networks.
Guo Haijun et al. Frontiers in public health 2022 101047714
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A Hybrid Workflow of Residual Convolutional Transformer Encoder for Breast Cancer Classification Using Digital X-ray Mammograms.
Al-Tam Riyadh M et al. Biomedicines 2022 10(11)
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Construction and Validation of Early Warning Model of Lung Cancer Based on Machine Learning: A Retrospective Study.
Ye Siyu et al. Technology in cancer research & treatment 2022 2115330338221136724
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Dynamic Risk Prediction of 30-Day Mortality in Patients With Advanced Lung Cancer: Comparing Five Machine Learning Approaches.
Vesteghem Charles et al. JCO clinical cancer informatics 2022 6e2200054
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Artificial intelligence in lung cancer: current applications and perspectives.
Chassagnon Guillaume et al. Japanese journal of radiology 2022
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A radiomics-based decision support tool improves lung cancer diagnosis in combination with the Herder score in large lung nodules.
Hunter Benjamin et al. EBioMedicine 2022 86104344
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The Potential Role of Artificial Intelligence in Lung Cancer Screening Using Low-Dose Computed Tomography.
Grenier Philippe A et al. Diagnostics (Basel, Switzerland) 2022 12(10)
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Lung cancer prediction using machine learning on data from a symptom e-questionnaire for never smokers, formers smokers and current smokers.
Nemlander Elinor et al. PloS one 2022 17(10) e0276703
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Predictive Model to Guide Brain Magnetic Resonance Imaging Surveillance in Patients With Metastatic Lung Cancer: Impact on Real-World Outcomes.
Wu Julie et al. JCO precision oncology 2022 6e2200220
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Artificial intelligence in lung cancer: Application and future thinking.
Zhao Wei et al. Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences 2022 47(8) 994-1000
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Lung Cancer Recurrence Risk Prediction through Integrated Deep Learning Evaluation.
Huang Peng et al. Cancers 2022 14(17)
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CT and CEA-based Machine Learning Model for Predicting Malignant Pulmonary Nodules.
Liu Man et al. Cancer science 2022
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Predicting chemotherapy response in non-small-cell lung cancer via computed tomography radiomic features: Peritumoral, intratumoral, or combined?
Chang Runsheng et al. Frontiers in oncology 2022 12915835
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An Artificial Intelligence-Based Tool for Data Analysis and Prognosis in Cancer Patients: Results from the Clarify Study.
Torrente María et al. Cancers 2022 14(16)
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Clinical validation of deep learning algorithms for radiotherapy targeting of non-small-cell lung cancer: an observational study.
Hosny Ahmed et al. The Lancet. Digital health 2022 4(9) e657-e666
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Page last reviewed:
Feb 1, 2023
Page last updated:
Feb 05, 2023
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