Background: Manual extraction of real-world clinical data for research can be time-consuming and prone to error. We assessed the feasibility of using natural language processing (NLP), an AI technique, to automate data extraction for patients with advanced lung cancer (aLC). We assessed the external validity of our NLP-extracted data by comparing our findings to those reported in the literature.
View Article and Find Full Text PDFUp to 71% of lung cancer patients admitted to the ICU are newly diagnosed. The decision to initiate cancer directed treatments in lung cancer patients admitted to the ICU remains complex. For those with identified oncogene driver mutations, targeted therapies with rapid and high response rates are attractive treatment options.
View Article and Find Full Text PDF