AIMC Topic: Lung Neoplasms

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Machine-Learning and Stochastic Tumor Growth Models for Predicting Outcomes in Patients With Advanced Non-Small-Cell Lung Cancer.

JCO clinical cancer informatics Sep 1, 2019
PURPOSE: The prediction of clinical outcomes for patients with cancer is central to precision medicine and the design of clinical trials. We developed and validated machine-learning models for three important clinical end points in patients with adva...
Carcinoma, Non-Small-Cell Lung Randomized Controlled Trials as Topic Neoplasm Staging Prognosis Lung Neoplasms Treatment Outcome Neoplasm Metastasis Molecular Targeted Therapy Kaplan-Meier Estimate Stochastic Processes Models, Biological Combined Modality Therapy Tumor Burden Humans Machine Learning Algorithms
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[Research progress on computed tomography image detection and classification of pulmonary nodule based on deep learning].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Aug 25, 2019
Computer-aided diagnosis based on computed tomography (CT) image can realize the detection and classification of pulmonary nodules, and improve the survival rate of early lung cancer, which has important clinical significance. In recent years, with t...
Humans Tomography, X-Ray Computed Reproducibility of Results Radiographic Image Interpretation, Computer-Assisted Deep Learning Lung Neoplasms Solitary Pulmonary Nodule
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Predicting Disease-Free Lung Cancer Survival Using Patient Reported Outcome (PRO) Measurements with Comparisons of Five Machine Learning Techniques (MLT).

Studies in health technology and informatics Aug 21, 2019
The study was to develop the lung cancer patients' prediction model for predicting 5-year survival after completion of treatment by using Machine Learning Technology (MLT), adding patient reporting (PRO) measurements of lung cancer survivors to a var...
Lung Neoplasms Patient Reported Outcome Measures Survivors Humans Machine Learning
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Lung Nodule Classification using A Novel Two-stage Convolutional Neural Networks Structure'.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Lung cancer is one of the most fatal cancers in the world. If the lung cancer can be diagnosed at an early stage, the survival rate of patients post treatment increases dramatically. Computed Tomography (CT) diagram is an effective tool to detect lun...
Lung Neoplasms Precancerous Conditions Humans Neural Networks, Computer Tomography, X-Ray Computed Lung
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Hybrid Neural Networks for Mortality Prediction from LDCT Images.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Known for its high morbidity and mortality rates, lung cancer poses a significant threat to human health and well-being. However, the same population is also at high risk for other deadly diseases, such as cardiovascular disease. Since Low-Dose CT (L...
Neural Networks, Computer Tomography, X-Ray Computed Risk Assessment Humans Thorax Deep Learning Lung Neoplasms Coronary Artery Disease
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[Performance of Deep-learning-based Artificial Intelligence on Detection of Pulmonary Nodules in Chest CT].

Zhongguo fei ai za zhi = Chinese journal of lung cancer Jun 20, 2019
BACKGROUND: The detection of pulmonary nodules is a key step to achieving the early diagnosis and therapy of lung cancer. Deep learning based Artificial intelligence (AI) presents as the state of the art in the area of nodule detection, however, a va...
Deep Learning Humans Lung Neoplasms Artificial Intelligence Multiple Pulmonary Nodules Tomography, X-Ray Computed
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Convolutional neural network approach to lung cancer classification integrating protein interaction network and gene expression profiles.

Journal of bioinformatics and computational biology Jun 1, 2019
Deep learning technologies are permeating every field from image and speech recognition to computational and systems biology. However, the application of convolutional neural networks (CCNs) to "omics" data poses some difficulties, such as the proces...
Transcriptome Machine Learning Protein Interaction Maps Algorithms Lung Neoplasms Support Vector Machine Reproducibility of Results Cluster Analysis Humans Random Allocation Neural Networks, Computer
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Predicting response to cancer immunotherapy using noninvasive radiomic biomarkers.

Annals of oncology : official journal of the European Society for Medical Oncology Jun 1, 2019
INTRODUCTION: Immunotherapy is regarded as one of the major breakthroughs in cancer treatment. Despite its success, only a subset of patients responds-urging the quest for predictive biomarkers. We hypothesize that artificial intelligence (AI) algori...
Predictive Value of Tests Programmed Cell Death 1 Receptor Antineoplastic Combined Chemotherapy Protocols Carcinoma, Non-Small-Cell Lung Follow-Up Studies Survival Rate Lung Neoplasms Immunotherapy Humans Artificial Intelligence Machine Learning Tomography, X-Ray Computed Algorithms Melanoma Prognosis
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[Clinical Application of Artificial Intelligence Recognition Technology 
in the Diagnosis of Stage T1 Lung Cancer].

Zhongguo fei ai za zhi = Chinese journal of lung cancer May 20, 2019
BACKGROUND: Lung cancer is the cancer with the highest morbidity and mortality at home and abroad at present. Using computed tomography (CT) to screen lung cancer nodules is a huge workload. To test the effect of artificial intelligence in automatic ...
Humans Neoplasm Staging Artificial Intelligence Medical Informatics Lung Neoplasms
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Exploring the survival prognosis of lung adenocarcinoma based on the cancer genome atlas database using artificial neural network.

Medicine May 1, 2019
The aim of this study was to investigate the clinical factors affecting the survival prognosis of lung adenocarcinoma, and to establish a predictive model of survival prognosis of lung adenocarcinoma by artificial neural network.Download the cancer g...
Genomic Library ROC Curve Lung Neoplasms Logistic Models Adult Male Neural Networks, Computer Risk Factors Regression Analysis Humans Middle Aged Prognosis Aged Predictive Value of Tests Female Aged, 80 and over Neoplasm Staging Cigarette Smoking Kaplan-Meier Estimate Adenocarcinoma of Lung
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