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Precision Health Database


Genomics & Health Impact Scan Database|Search|PHGKB

Last data update: Feb 05, 2023. (Total: 52479 Documents since 2012)
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Integration of artificial intelligence in lung cancer: Rise of the machine.
Colton Ladbury et al. Cell reports. Medicine 2023 100933
Prediction of bone metastasis in non-small cell lung cancer based on machine learning.
Meng-Pan Li et al. Frontiers in oncology 2023 121054300
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
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
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)
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
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
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
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
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
Assessing the efficacy of immunotherapy in lung squamous carcinoma using artificial intelligence neural network.
Li Siqi et al. Frontiers in immunology 2022 131024707
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
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)
Artificial intelligence: A critical review of applications for lung nodule and lung cancer.
de Margerie-Mellon Constance et al. Diagnostic and interventional imaging 2022
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
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)
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
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
Artificial intelligence in lung cancer: current applications and perspectives.
Chassagnon Guillaume et al. Japanese journal of radiology 2022
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
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)
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
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
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
Lung Cancer Recurrence Risk Prediction through Integrated Deep Learning Evaluation.
Huang Peng et al. Cancers 2022 14(17)
CT and CEA-based Machine Learning Model for Predicting Malignant Pulmonary Nodules.
Liu Man et al. Cancer science 2022
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
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)
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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