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Researchers Tested an AI Tool That Drafts Responses to Patient Messages-Here's What They Found.
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Predicting User Engagement in Health Misinformation Correction on Social Media Platforms in Taiwan: Content Analysis and Text Mining Study.
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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 PDFResponse to comment on "Delirium event and associated treatment modifications among older adults with Alzheimer's disease: An interrupted time-series analysis of Medicare data".
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Department of Pharmaceutical Health Outcomes and Policy, College of Pharmacy, University of Houston, Houston, Texas, USA.
Nerve Block Research in Diabetic Foot Ulcers: Concerns and Suggestions [Response to Letter].
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Department of Anesthesiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Province, 530021, People's Republic of China.
Retraction notice to "Degradation of cefadroxil drug by newly designed solar light responsive alcoholic template-based lanthanum ferrite nanoparticles" [Environ. Res. 231P3 (2023) 116241].
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Department of Biology, College of Sciences, Princess Nourah bint Abdulrahman University, Riyadh, 11671, Saudi Arabia.
This article has been retracted: please see Elsevier Policy on Article Withdrawal (https://www.elsevier.com/locate/withdrawalpolicy).
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