Low sensation seeking and loneliness have been associated with collegiate Internet dependence. In an attempt to further explicate the factors associated with collegiate Internet dependence, interpersonal shyness (both online and in face-to-face [FTF] interactions) was explored. An online questionnaire was used to assess Internet dependency and shyness. The results demonstrated the predicted interaction such that shyness level for nondependents did not differ online or in FTF interactions. However, dependents' shyness was greater in FTF interactions relative to online interpersonal exchanges. The results were discussed in terms of how various Internet resources (e.g., e-mail, chat rooms, and instant messages) can be used to ameliorate shyness and how such negatively reinforced behavior could foster dependence.
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http://dx.doi.org/10.1089/cpb.2004.7.379 | DOI Listing |
Ann Rheum Dis
January 2025
Masters and Doctoral Programs in Physical Therapy, Universidade Cidade de Sao Paulo, Sao Paulo, Brazil; Discipline of Physiotherapy, Graduate School of Health, Faculty of Health, University of Technology, Sydney, New South Wales, Australia.
Objectives: The aim of this study was to assess the accuracy and readability of the answers generated by large language model (LLM)-chatbots to common patient questions about low back pain (LBP).
Methods: This cross-sectional study analysed responses to 30 LBP-related questions, covering self-management, risk factors and treatment. The questions were developed by experienced clinicians and researchers and were piloted with a group of consumer representatives with lived experience of LBP.
Biomed Phys Eng Express
January 2025
Shandong Normal University, Jinan, Jinan, Shandong, 250014, CHINA.
In the medical field, endoscopic video analysis is crucial for disease diagnosis and minimally invasive surgery. The Endoscopic Foundation Models (Endo- FM) utilize large-scale self-supervised pre-training on endoscopic video data and leverage video transformer models to capture long-range spatiotemporal dependencies. However, detecting complex lesions such as gastrointestinal metaplasia (GIM) in endoscopic videos remains challenging due to unclear boundaries and indistinct features, and Endo-FM has not demonstrated good performance.
View Article and Find Full Text PDFCureus
December 2024
Department of Health and Welfare Services, National Institute of Public Health, Wako, JPN.
Background Cardiopulmonary arrest is a leading cause of death and requires swift intervention for survival. Previous studies have highlighted the critical importance of initiating cardiopulmonary resuscitation (CPR) and defibrillation within a limited timeframe. Improving outcomes depends on widespread CPR training, accessible automated external defibrillators (AEDs), and increased public awareness.
View Article and Find Full Text PDFJMIR Form Res
January 2025
Interdisciplinary Centre for Health Technology Assessment and Public Health, Friedrich-Alexander-Universität Erlangen-Nürnberg, Schwabachanlage 6, Erlangen, 91054, Germany, 49 162-2463579.
Background: Dementia is a growing global health challenge with significant economic and social implications. Underdiagnosis of dementia is prevalent due to a lack of knowledge and understanding among the general population. Enhancing dementia literacy through improved health information-seeking behavior is crucial for the self-determined management of the disease by those affected.
View Article and Find Full Text PDFSci Data
January 2025
School of Medicine, Anhui University of Science and Technology, Huainan, 232001, China.
Ultrasound is a primary diagnostic tool commonly used to evaluate internal body structures, including organs, blood vessels, the musculoskeletal system, and fetal development. Due to challenges such as operator dependence, noise, limited field of view, difficulty in imaging through bone and air, and variability across different systems, diagnosing abnormalities in ultrasound images is particularly challenging for less experienced clinicians. The development of artificial intelligence (AI) technology could assist in the diagnosis of ultrasound images.
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