Publications by authors named "J D Cavallo"
Objectives: For emergency department (ED) patients, lung cancer may be detected early through incidental lung nodules (ILNs) discovered on chest CTs. However, there are significant errors in the communication and follow-up of incidental findings on ED imaging, particularly due to unstructured radiology reports. Natural language processing (NLP) can aid in identifying ILNs requiring follow-up, potentially reducing errors from missed follow-up.
View Article and Find Full Text PDFImportance: The Prostate Imaging Reporting & Data System (PI-RADS) scoring guidelines were developed to address the substantial variation in interpretation and reporting of prostate cancer (PCa) multiparametric MRI (mpMRI) results, and subsequent updates have sought to further improve inter-reader reliability. Nonetheless, the variability of PI-RADS scoring in real-world settings may represent a continuing challenge to the widespread standardization of prostate mpMRI and limit its overall clinical benefit.
Objective: To assess variability in mpMRI interpretation and reporting of PCa, we evaluated the discrepancies in PI-RADS scoring between community practices and a tertiary academic care center.
Purpose: This comprehensive scoping review of the medical literature on first-generation low-income (FGLI) individuals in medicine aimed to synthesize the highest levels of evidence to inform medical education stakeholders.
Method: Database searches were conducted in Academic Search Premier, Education Research Premier, ERIC, Ovid MEDLINE, Ovid Embase, Professional Development Collection, PubMed, Scopus, Google Scholar, and Web of Science Core Collection from database inception through March 15, 2023. English-language articles on first-generation or low-income individuals in medicine from U.