Person-Specific Analyses of Smartphone Use and Mental Health: An Intensive Longitudinal Study Over One Year.

Background: Contrary to popular concerns about the harmful effects of media use on mental health, research on this relationship is ambiguous, stalling advances in theory, interventions, and policy. Scientific explorations of the relationship between media and mental health have mostly found null or small associations, with the results often blamed on the use of cross-sectional study designs or imprecise measures of media use and mental health.

Objective: This exploratory empirical demonstration aimed to answer whether mental health effects are associated with media use experiences by (1) redirecting research investments to granular and intensive longitudinal recordings of digital experiences to build models of media use and mental health for single individuals over the course of one entire year, (2) using new metrics of fragmented media use to propose explanations of mental health effects that will advance person-specific theorizing in media psychology, and (3) identifying combinations of media behaviors and mental health symptoms that may be more useful for studying media effects than single measures of dosage and affect or assessments of clinical symptoms related to specific disorders.

Human or Machine? A Comparative Analysis of Artificial Intelligence-Generated Writing Detection in Personal Statements.

Introduction: This study examines the ability of human readers, recurrence quantification analysis (RQA), and an online artificial intelligence (AI) detection tool (GPTZero) to distinguish between AI-generated and human-written personal statements in physical therapist education program applications.

Review Of Literature: The emergence of large language models such as ChatGPT and Google Gemini has raised concerns about the authenticity of personal statements. Previous studies have reported varying degrees of success in detecting AI-generated text.

Complications associated with use of the Wolverine cutting balloon: insights from the Manufacturer and User Facility Device Experience (MAUDE) database.

Objectives: The Wolverine cutting balloon (CB) (Boston Scientific) is a specialized balloon catheter with microsurgical blades that is used for balloon-resistant lesions. The Manufacturer and User Facility Device Experience (MAUDE) database serves as a repository for reports of medical device complications. The aim of this study was to analyze complications associated with CB use during percutaneous coronary intervention in real-world contemporary practice.