AIMC Topic: Lung Neoplasms

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Validity of Natural Language Processing for Ascertainment of and Test Results in SEER Cases of Stage IV Non-Small-Cell Lung Cancer.

JCO clinical cancer informatics May 1, 2019
PURPOSE: SEER registries do not report results of epidermal growth factor receptor () and anaplastic lymphoma kinase () mutation tests. To facilitate population-based research in molecularly defined subgroups of non-small-cell lung cancer (NSCLC), we...
Female Reproducibility of Results Aged Adult Humans Machine Learning Algorithms Anaplastic Lymphoma Kinase Mutation Registries Genetic Testing Kentucky ErbB Receptors SEER Program DNA Mutational Analysis Carcinoma, Non-Small-Cell Lung Male Population Surveillance Middle Aged Natural Language Processing Lung Neoplasms
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Use of Crowd Innovation to Develop an Artificial Intelligence-Based Solution for Radiation Therapy Targeting.

JAMA oncology May 1, 2019
IMPORTANCE: Radiation therapy (RT) is a critical cancer treatment, but the existing radiation oncologist work force does not meet growing global demand. One key physician task in RT planning involves tumor segmentation for targeting, which requires s...
Tomography, X-Ray Computed Female Aged Aged, 80 and over Humans Artificial Intelligence Lung Neoplasms Tumor Burden Inventions Adult Crowdsourcing Male Middle Aged
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[An Overview of the Application of Artificial Neural Networks in Lung Cancer Research].

Zhongguo fei ai za zhi = Chinese journal of lung cancer Apr 20, 2019
Lung cancer is the most common and fatal tumor in the world with limited diagnostic and treatment methods. The development of precision medicine has brought new opportunities for the improvement of diagnosis and treatment of lung cancer. However, var...
Lung Neoplasms Neural Networks, Computer Biomedical Research Humans
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Machine learning-based predictors for immune checkpoint inhibitor therapy of non-small-cell lung cancer.

Annals of oncology : official journal of the European Society for Medical Oncology Apr 1, 2019
Biopsy Programmed Cell Death 1 Receptor Drug Resistance, Neoplasm Carcinoma, Non-Small-Cell Lung Predictive Value of Tests Mutation Biomarkers, Tumor Male Middle Aged B7-H1 Antigen Models, Genetic Lung Aged Lung Neoplasms Humans Aged, 80 and over Machine Learning Adult
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[Application of Artificial Intelligence in Radiology].

Gan to kagaku ryoho. Cancer & chemotherapy Mar 1, 2019
Artificial intelligence has attracted attention in the various field as an advanced information technology. Regarding to the radiology, many artificial intelligence technologies have been introduced to the computer aided diagnosis technologies such a...
Artificial Intelligence Humans Radiology Lung Neoplasms Radiography
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Categorization & Recognition of Lung Tumor Using Machine Learning Representations.

Current medical imaging reviews Jan 1, 2019
BACKGROUND: Lung Cancer is the disease spreading around the world nowadays. Early recognition of lung disease is a difficult task as the cells which cause tumor will grow quickly and the majority of these cells are enclosed with each other. From the ...
Lung Neoplasms Humans Early Detection of Cancer Machine Learning Image Interpretation, Computer-Assisted Algorithms
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[The future of computer-aided diagnostics in chest computed tomography].

Khirurgiia Jan 1, 2019
Recently, more and more attention has been paid to the utility of artificial intelligence in medicine. Radiology differs from other medical specialties with its high digitalization, so most software developers operationalize this area of medicine. Th...
Early Detection of Cancer Humans Thorax Machine Learning Diagnosis, Computer-Assisted Forecasting Tomography, X-Ray Computed Lung Neoplasms Reproducibility of Results
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Deep CNN models for pulmonary nodule classification: Model modification, model integration, and transfer learning.

Journal of X-ray science and technology Jan 1, 2019
BACKGROUND: Deep learning has made spectacular achievements in analysing natural images, but it faces challenges for medical applications partly due to inadequate images.
Databases, Factual Tomography, X-Ray Computed Reproducibility of Results Humans Lung Neoplasms Solitary Pulmonary Nodule Lung Radiographic Image Interpretation, Computer-Assisted Deep Learning ROC Curve
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Recognition of Lung Adenocarcinoma-specific Gene Pairs Based on Genetic Algorithm and Establishment of a Deep Learning Prediction Model.

Combinatorial chemistry & high throughput screening Jan 1, 2019
AIM AND OBJECTIVE: Lung cancer is a disease with a dismal prognosis and is the major cause of cancer deaths in many countries. Nonetheless, rapid technological developments in genome science guarantees more effective prevention and treatment strategi...
Adenocarcinoma of Lung Lung Neoplasms Cluster Analysis Models, Biological Algorithms Gene Expression Profiling Deep Learning Humans
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Constructing a Risk Prediction Model for Lung Cancer Recurrence by Using Gene Function Clustering and Machine Learning.

Combinatorial chemistry & high throughput screening Jan 1, 2019
OBJECTIVE: A significant proportion of patients with early non-small cell lung cancer (NSCLC) can be cured by surgery. The distant metastasis of tumors is the most common cause of treatment failure. Precisely predicting the likelihood that a patient ...
Humans Machine Learning Male Middle Aged Female Risk Factors Models, Biological Lung Neoplasms Recurrence Multigene Family Gene Expression Regulation, Neoplastic Carcinoma, Non-Small-Cell Lung
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