AIMC Topic: Lung Neoplasms
Clear Filters Showing 1431 to 1440 of 1658 articles
Validation of Non-Small Cell Lung Cancer Clinical Insights Using a Generalized Oncology Natural Language Processing Model.
JCO clinical cancer informatics
Sep 1, 2024
PURPOSE: Limited studies have used natural language processing (NLP) in the context of non-small cell lung cancer (NSCLC). This study aimed to validate the application of an NLP model to an NSCLC cohort by extracting NSCLC concepts from free-text med...
Automated Interstitial Lung Abnormality Probability Prediction at CT: A Stepwise Machine Learning Approach in the Boston Lung Cancer Study.
Radiology
Sep 1, 2024
Background It is increasingly recognized that interstitial lung abnormalities (ILAs) detected at CT have potential clinical implications, but automated identification of ILAs has not yet been fully established. Purpose To develop and test automated I...
Explainable machine learning prediction of edema adverse events in patients treated with tepotinib.
Clinical and translational science
Sep 1, 2024
Tepotinib is approved for the treatment of patients with non-small-cell lung cancer harboring MET exon 14 skipping alterations. While edema is the most prevalent adverse event (AE) and a known class effect of MET inhibitors including tepotinib, there...
Deep Learning-Based Reconstruction Algorithm With Lung Enhancement Filter for Chest CT: Effect on Image Quality and Ground Glass Nodule Sharpness.
Korean journal of radiology
Sep 1, 2024
OBJECTIVE: To assess the effect of a new lung enhancement filter combined with deep learning image reconstruction (DLIR) algorithm on image quality and ground-glass nodule (GGN) sharpness compared to hybrid iterative reconstruction or DLIR alone.
External Testing of a Deep Learning Model to Estimate Biologic Age Using Chest Radiographs.
Radiology. Artificial intelligence
Sep 1, 2024
Purpose To assess the prognostic value of a deep learning-based chest radiographic age (hereafter, CXR-Age) model in a large external test cohort of Asian individuals. Materials and Methods This single-center, retrospective study included chest radio...
Assessment of Follow-Up for Pulmonary Nodules from Radiology Reports with Natural Language Processing.
Studies in health technology and informatics
Aug 22, 2024
Radiology reports are an essential communication method for ensuring smooth workflow in healthcare. However, many of these reports are described in free text, and findings documented by radiologists may not be adequately addressed. In this study, foc...
Temporal Characterization and Visualization of Revolving Therapy-Events in Lung Cancer Patients.
Studies in health technology and informatics
Aug 22, 2024
This paper presents a comprehensive workflow for integrating revolving events into the transitive sequential pattern mining (tSPM+) algorithm and Machine Learning for Health Outcomes (MLHO) framework, emphasizing best practices and pitfalls in its ap...
A preliminary study on the diagnostic performance of the uPath PD-L1 (SP263) artificial intelligence (AI) algorithm in patients with NSCLC treated with PD-1/PD-L1 checkpoint blockade.
Pathologica
Aug 1, 2024
OBJECTIVE: The uPath PD-L1 (SP263) is an AI-based platform designed to aid pathologists in identifying and quantifying PD-L1 positive tumor cells in non-small cell lung cancer (NSCLC) samples stained with the SP263 assay.
Artificial intelligence software for analysing chest X-ray images to identify suspected lung cancer: an evidence synthesis early value assessment.
Health technology assessment (Winchester, England)
Aug 1, 2024
BACKGROUND: Lung cancer is one of the most common types of cancer in the United Kingdom. It is often diagnosed late. The 5-year survival rate for lung cancer is below 10%. Early diagnosis may improve survival. Software that has an artificial intellig...
Identification of effective diagnostic genes and immune cell infiltration characteristics in small cell lung cancer by integrating bioinformatics analysis and machine learning algorithms.
Saudi medical journal
Aug 1, 2024
OBJECTIVES: To identify potential diagnostic markers for small cell lung cancer (SCLC) and investigate the correlation with immune cell infiltration.
Don't Miss the Future of Medicine
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 31475
- Neural Networks, Computer 29906
- Algorithms 27059
- Deep Learning 26599
- Artificial Intelligence 24518
- Robotics 13353
- Image Processing, Computer-Assisted 9618
- Retrospective Studies 9194
- Magnetic Resonance Imaging 6237
- Reproducibility of Results 5625
- Tomography, X-Ray Computed 4807
- Support Vector Machine 4723
- Computational Biology 4286
- Brain 4070
- Computer Simulation 3901
Recent Journals
- Scientific reports 6466
- Sensors (Basel, Switzerland) 4794
- PloS one 4133
- Neural networks : the official journal of the International Neural Network Society 3026
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1907
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1278
- IEEE journal of biomedical and health informatics 1156
- Journal of chemical information and modeling 1033
- Nature communications 997
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 869
- Briefings in bioinformatics 853
- IEEE transactions on neural networks and learning systems 842