Natural language processing (NLP) is focused on the computer interpretation of human
language and can be used to evaluate radiology reports and has demonstrated useful …

Developing and evaluating statistical prediction models is challenging, and many pitfalls can
arise. This article identifies what the authors feel are some common methodological …

Background The frequency of cancer and accuracy of prediction models have not been
studied in large, population-based samples of patients with incidental pulmonary nodules …

Natural language processing (NLP) is a wide range of techniques that allows computers to
interact with human text. Applications of NLP in everyday life include language translation …

Background Lymph node metastasis (LNM) is critical for treatment decision making of
patients with resectable non–small cell lung cancer, but it is difficult to precisely diagnose …

Rationale and Objectives Adoption of the Prostate Imaging Reporting & Data System (PI-
RADS) has been shown to increase detection of clinically significant prostate cancer on …

Importance Distinguishing benign from malignant pulmonary nodules is challenging.
Evidence-based guidelines exist, but their impact on patient-centered outcomes is unknown …

Pulmonary nodules and nodule characteristics are important indicators of lung nodule
malignancy. However, nodule information is often documented as free text in clinical …

PURPOSE Lung cancer screening programs generate a high volume of low-dose computed
tomography (LDCT) reports that contain valuable information, typically in a free-text format …

Purpose: This study evaluates the efficacy of a commercial medical Named Entity
Recognition (NER) model combined with a post-processing protocol in identifying incidental …