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Predicting User Engagement in Health Misinformation Correction on Social Media Platforms in Taiwan: Content Analysis and Text Mining Study.
J Med Internet Res
January 2025
Institute of Learning Sciences and Technologies, National Tsing Hua University, Hsinchu, Taiwan.
Background: Health misinformation undermines responses to health crises, with social media amplifying the issue. Although organizations work to correct misinformation, challenges persist due to reasons such as the difficulty of effectively sharing corrections and information being overwhelming. At the same time, social media offers valuable interactive data, enabling researchers to analyze user engagement with health misinformation corrections and refine content design strategies.
View Article and Find Full Text PDFSemaglutide, type 2 diabetes, and the risk of nonarteritic anterior ischemic optic neuropathy.
Int J Retina Vitreous
January 2025
Brazilian Diabetes Society, São Paulo, Brazil.
In the last months, conflicting evidence on a possible association between the use of semaglutide and incident nonarteritic anterior ischemic optic neuropathy (NAION) has emerged. A recently published study, which evaluated all patients with type 2 diabetes in Denmark, has shown with robustness that once-weekly semaglutide doubles the five-year risk of NAION. In this comment, the new evidence is discussed, along with practical implications for type 2 diabetes patients.
View Article and Find Full Text PDFOsteopenic fractures, the importance of applying gender-specific bone mineral density thresholds in identifying hip fracture at-risk populations, and comments on the article of Xu .
Quant Imaging Med Surg
January 2025
Department of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.
[Application of artificial intelligence in parasitic diseases and parasitology].
Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi
December 2024
Department of Epidemiology, School of Public Health, Fudan University; Key Laboratory of Public Health Safety, Ministry of Education; Tropical Disease Research Center, Fudan University, Shanghai 200032, China.
The rapid development of artificial intelligence poses a huge impact on health and has become a core driving force for the new generation of the scientific and technological revolution in the field of healthcare. Recently, artificial intelligence has been gradually applied in the field of parasitic diseases and parasitology, including disease diagnosis, prognosis prediction, prediction of transmission risk, intelligent identification of vectors and intermediate hosts, and disease prevention and control, which facilitates the progress towards elimination of parasitic diseases. In addition, artificial intelligence provides highly efficient tools and approaches for healthcare workers and researchers.
View Article and Find Full Text PDF'Captivating voices': evaluation of a patient-centred animated video on excessive physical exercise and eating disorders.
Med Humanit
January 2025
University Clinic for Psychosomatic Medicine and Psychotherapy, Medical Faculty, Campus East-Westphalia, Ruhr-Universitat Bochum, Luebbecke, Germany.
This project aimed to evaluate the acceptance of a short, animated video addressing excessive exercise within the context of eating disorder (ED) behaviours among diverse target groups, assess its impact and explore potential associations with disordered eating risk. An online survey was conducted, recruiting 170 participants who were shown a 3-minute and 11-second long animated video portraying narratives of individuals with lived experiences related to excessive exercise and ED. Participants provided demographic information, engaged in the video evaluation answering a 9-item questionnaire and completed a subsequent ED screening and a drive for muscularity questionnaire.
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