Tag: Cancer: Lung
CT Scan Screen for Lung Cancer Can ID Smoking-Related Diseases
New diagnoses of CVD, emphysema, osteoporosis identified, often are linked to adverse events
AI Tool Discerns Lung Cancer Outcomes From Imaging Reports
Deep natural language processing used to detect presence of lung cancer and treatment response
Extended Follow-Up Supports Low-Dose CT for Lung Cancer Screening
303 the number needed to screen in extended follow-up of National Lung Screening Trial
Image-Based Model Predicts Radiation Tx Failure in Lung Cancer
Higher rate of treatment failure for lung cancer patients with high Deep Profiler scores
Model Can Predict Lung Cancer in Patient With Visible Nodule on CT
Combination of clinical and radiologic factors can reliably predict risk for incident lung cancer
USPSTF Lung Cancer Screening Too Conservative for Blacks
Lowering smoking pack-year eligibility criteria would up screening eligibility for African American smokers
Adding Bevacizumab Improves Overall Survival in NSCLC
Addition of bevacizumab to carboplatin/pemetrexed beneficial in advanced non-small cell lung cancer
Cardiac Radiation Dose in NSCLC Predicts Mortality, Cardiac AEs
In coronary heart disease-negative patients, mean heart dose associated with all-cause mortality
AI Model Can Improve Accuracy of Lung Cancer Screening
In some situations, model outperformed radiologists with reductions in false positives, negatives
AI Model Uses Serial Imaging to Predict Lung Cancer Tx Response
Deep learning integrates CT scans from multiple time points to improve clinical outcome predictions
