Characterizing the Increase in Artificial Intelligence Content Detection in Oncology Scientific Abstracts From 2021 to 2023.

Purpose: Artificial intelligence (AI) models can generate scientific abstracts that are difficult to distinguish from the work of human authors. The use of AI in scientific writing and performance of AI detection tools are poorly characterized.

Methods: We extracted text from published scientific abstracts from the ASCO 2021-2023 Annual Meetings.

Incidence of Severe Acute Respiratory Syndrome Coronavirus 2 and Subsequent Mortality in a Multisite Cohort of Patients With Cancer in the CancerLinQ Discovery Database.

Purpose: Understanding risks for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and subsequent mortality among patients with cancer may help inform treatment decisions during the COVID-19 pandemic.

Methods: CancerLinQ is an electronic health record database from US oncology practices. We identified a cohort of patients with malignancy and 2+ encounters at CancerLinQ practices in the 12 months before the study period (January 1, 2020-January 31, 2021).

Summary of the 12 Most Common Cancers in the CancerLinQ Discovery (CLQD) Database.

Purpose: In 2014, the ASCO developed CancerLinQ (CLQ), a health technology platform for oncology. The CLQ Discovery (CLQD) database was created to make data available for research and this paper provides a summary of this database.

Methods: This study described the clinical and demographic characteristics of the 12 most common cancers in the CLQD database.

Growth Kinetics of Small Renal Masses on Active Surveillance: Variability and Results from the DISSRM Registry.

Purpose: Active surveillance is emerging as a safe and effective strategy for the management of small renal masses (4 cm or less). We characterized the growth rate and its pertinence to clinical outcomes in a prospective multi-institutional study of patients with small renal masses.

Materials And Methods: Since 2009, the DISSRM (Delayed Intervention and Surveillance for Small Renal Masses) prospective, multi-institutional registry of patients with small renal masses has enrolled patients who elect primary intervention or active surveillance.

A Prospective, Comparative Study of Quality of Life among Patients with Small Renal Masses Choosing Active Surveillance and Primary Intervention.

Purpose: To our knowledge quality of life has not been evaluated in rigorous fashion in patients undergoing active surveillance for small renal masses. The prospective, multi-institutional DISSRM (Delayed Intervention and Surveillance for Small Renal Masses) Registry was opened on January 1, 2009, enrolling patients with cT1a (4.0 cm or less) small renal masses who elected primary intervention or active surveillance.