AIMC Topic: Social Media
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Decoding Digital Discourse Through Multimodal Text and Image Machine Learning Models to Classify Sentiment and Detect Hate Speech in Race- and Lesbian, Gay, Bisexual, Transgender, Queer, Intersex, and Asexual Community-Related Posts on Social Media: Quantitative Study.
Journal of medical Internet research
May 12, 2025
BACKGROUND: A major challenge in sentiment analysis on social media is the increasing prevalence of image-based content, which integrates text and visuals to convey nuanced messages. Traditional text-based approaches have been widely used to assess p...
Food Access in New York City During the COVID-19 Pandemic: Social Media Monitoring Study.
JMIR formative research
May 9, 2025
BACKGROUND: The COVID-19 pandemic exacerbated issues of poverty and food insecurity in New York City, and many residents experienced difficulty accessing available resources to help them get food on the table. Social media presents an opportunity to ...
Using C4.5 Algorithm to Gain Insights on Stakeholder Engagement and Use of Artificial Intelligence on Social Media in Dementia Caregiving Disparity Research.
Studies in health technology and informatics
Apr 8, 2025
We applied machine learning techniques to build models that predict perceived risks and benefits of using artificial intelligence (AI) algorithms to recruit African American informal caregivers for clinical trials and general health disparity researc...
ChatGPT's competence in responding to urological emergencies.
Ulusal travma ve acil cerrahi dergisi = Turkish journal of trauma & emergency surgery : TJTES
Mar 1, 2025
BACKGROUND: In recent years, artificial intelligence (AI) applications have been increasingly used as sources of medical information, alongside their applications in many other fields. This study is the first to evaluate ChatGPT's performance in addr...
Deep Learning-Based Prediction of Daily COVID-19 Cases Using X (Twitter) Data.
Studies in health technology and informatics
Aug 22, 2024
Due to the importance of COVID-19 control, innovative methods for predicting cases using social network data are increasingly under attention. This study aims to predict confirmed COVID-19 cases using X (Twitter) social network data (tweets) and deep...
Precision Nutrition Management in Continuous Care: Leveraging AI for User-Reported Dietary Data Analysis.
Studies in health technology and informatics
Jul 24, 2024
A As health technology advances, this study aims to develop an innovative nutritional intake management system that integrates artificial intelligence technology and social media software to achieve precise analysis of patient-generated data and comp...
Data Quality Matters: Suicide Intention Detection on Social Media Posts Using RoBERTa-CNN.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2024
Suicide remains a pressing global health concern, necessitating innovative approaches for early detection and intervention. This paper focuses on identifying suicidal intentions in posts from the SuicideWatch subreddit by proposing a novel deep-learn...
Using ChatGPT for Kidney Transplantation: Perceived Information Quality by Race and Education Levels.
Clinical transplantation
Jul 1, 2024
BACKGROUND: Kidney transplantation is a complex process requiring extensive preparation and ongoing monitoring. Artificial intelligence (AI)-powered chatbots hold potential for providing accessible health information, but our understanding of their r...
Physician and Artificial Intelligence Chatbot Responses to Cancer Questions From Social Media.
JAMA oncology
Jul 1, 2024
IMPORTANCE: Artificial intelligence (AI) chatbots pose the opportunity to draft template responses to patient questions. However, the ability of chatbots to generate responses based on domain-specific knowledge of cancer remains to be tested.
Streamlining social media information retrieval for public health research with deep learning.
Journal of the American Medical Informatics Association : JAMIA
Jun 20, 2024
OBJECTIVE: Social media-based public health research is crucial for epidemic surveillance, but most studies identify relevant corpora with keyword-matching. This study develops a system to streamline the process of curating colloquial medical diction...
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