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The current study examines how interactive data visualization can augment the persuasive potential of health information. In an experiment using an obesity-awareness website (N = 248), we manipulated the level of interactivity in a data visualization tool that featured obesity prevalence in the U.S. and measured participants' absorption into the website, perceived issue severity, content perceptions, and intentions to prevent/treat obesity. Our data demonstrated that lower BMI participants reported greater cognitive absorption when highly interactive data visualization was available on the website. Subsequently, greater cognitive absorption into the website led to higher perceived issue severity, greater content perceptions, and higher obesity prevention intentions among lower BMI participants but not among higher BMI participants.
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http://dx.doi.org/10.1080/10410236.2020.1791376 | DOI Listing |
NPJ Precis Oncol
September 2025
Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.
Breast cancer is a highly heterogeneous disease with diverse outcomes, and intra-tumoral heterogeneity plays a significant role in both diagnosis and treatment. Despite its importance, the spatial distribution of intra-tumoral heterogeneity is not fully elucidated. Spatial transcriptomics has emerged as a promising tool to study the molecular mechanisms behind many diseases.
View Article and Find Full Text PDFJMIR Res Protoc
September 2025
School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Background: Electronic health records (EHRs) have been linked to information overload, which can lead to cognitive fatigue, a precursor to burnout. This can cause health care providers to miss critical information and make clinical errors, leading to delays in care delivery. This challenge is particularly pronounced in medical intensive care units (ICUs), where patients are critically ill and their EHRs contain extensive and complex data.
View Article and Find Full Text PDFRheumatology (Oxford)
September 2025
Department of Orthopedics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Objectives: Osteoarthritis (OA) is a leading cause of chronic pain and disability worldwide, traditionally viewed as a disease of aging. However, emerging evidence highlights its increasing prevalence among middle-aged adults (40-59 years), a population critical to socioeconomic stability. This study is designed to assess the burden of OA among middle-aged adults.
View Article and Find Full Text PDFInt J Comput Assist Radiol Surg
September 2025
Institute of Computer Science, Friedrich-Schiller-Universität, Fürstengraben 1, 07743, Jena, Thuringia, Germany.
Purpose: Cerebral aneurysms are blood-filled bulges that form at weak points in blood vessel walls, and their rupture can lead to life-threatening consequences. Given the high risk associated with these aneurysms, thorough examination and analysis are essential for determining appropriate treatment. While existing tools such as ANEULYSIS and its web-based counterpart WEBANEULYSIS provide interactive means for analyzing simulated aneurysm data, they lack support for collaborative analysis, which is crucial for enhancing interpretation and improving treatment decisions in medical team meetings.
View Article and Find Full Text PDFAdv Pharm Bull
July 2025
Department of Telecommunications & Systems Engineering, Universitat Autònoma de Barcelona, Sabadell, 08202, Spain.
Purpose: This study explores the potential of generative AI models to aid experts in developing scripts for pharmacokinetic (PK) models, with a focus on constructing a two-compartment population PK model using data from Hosseini et al.
Methods: Generative AI tools ChatGPT v3.5, Gemini v2.