Chest radiograph neural network predicts lung cancer in smokers
1. A deep-learning network using chest radiographs and basic demographic information was able to predict lung cancer incidence similar to ...
1. A deep-learning network using chest radiographs and basic demographic information was able to predict lung cancer incidence similar to ...
1. In this retrospective cohort study, there was an observed decrease in mortality in non-small-cell lung cancer patients that corresponded ...
1. After a 3-year follow-up to a phase 3 trial, the epidermal growth factor receptor-tyrosine kinase inhibitor osimertinib resulted in ...
1. After a 3-year follow-up to a phase 3 trial, the epidermal growth factor receptor-tyrosine kinase inhibitor osimertinib resulted in ...
1. In this study comparing three prominent lung cancer screening strategies, all were found to be cost-effective, yielding incremental cost-effectiveness ...
1. In this modelling study, life-gained-based selection of smokers for lung cancer screening resulted in a nearly threefold greater gain ...
The following study summary is an excerpt from the book 2 Minute Medicine’s The Classics in Radiology: Summaries of Clinically Relevant ...
1. Prediction tool may help physicians better personalize screening discussions with patients. 2. Benefits of the prediction tool, low-dose computer ...
1. In terms of early lung cancer death per individual screened, targeting lung cancer mortality risk may improve lung cancer ...
1. Osimertinib demonstrated a significantly longer duration of progression-free survival compared to standard of care epidermal growth factor receptor (EGFR)-tyrosine ...
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