AIMC Topic: Health Knowledge, Attitudes, Practice
Clear Filters Showing 41 to 50 of 112 articles
Health inequities, bias, and artificial intelligence.
Techniques in vascular and interventional radiology
Aug 24, 2024
Musculoskeletal (MSK) pain leads to significant healthcare utilization, decreased productivity, and disability globally. Due to its complex etiology, MSK pain is often chronic and challenging to manage effectively. Disparities in pain management-infl...
Identifying psychological predictors of SARS-CoV-2 vaccination: A machine learning study.
Vaccine
Aug 5, 2024
BACKGROUND: Major barriers to addressing SARS-CoV-2 vaccine hesitancy include limited knowledge of what causes delay/refusal of SARS-CoV-2 vaccination and limited ability to predict who will remain unvaccinated over significant time periods despite v...
Women's views on using artificial intelligence in breast cancer screening: A review and qualitative study to guide breast screening services.
Breast (Edinburgh, Scotland)
Jul 31, 2024
As breast screening services move towards use of healthcare AI (HCAI) for screen reading, research on public views of HCAI can inform more person-centered implementation. We synthesise reviews of public views of HCAI in general, and review primary st...
Survey of US physicians' attitudes and knowledge of AI.
BMJ evidence-based medicine
Jul 23, 2024
Evaluation of online chat-based artificial intelligence responses about inflammatory bowel disease and diet.
European journal of gastroenterology & hepatology
Jul 8, 2024
INTRODUCTION: The USA has the highest age-standardized prevalence of inflammatory bowel disease (IBD). Both genetic and environmental factors have been implicated in IBD flares and multiple strategies are centered around avoiding dietary triggers to ...
Knowledge and attitudes toward artificial intelligence in nursing among various categories of professionals in China: a cross-sectional study.
Frontiers in public health
Jul 2, 2024
OBJECTIVES: The application of artificial intelligence (AI) in healthcare is an important public health issue. However, few studies have investigated the perceptions and attitudes of healthcare professionals toward its applications in nursing. This s...
Evaluation of future nurses' knowledge, attitudes and anxiety levels about artificial intelligence applications.
Journal of evaluation in clinical practice
Jun 18, 2024
RATIONALE: Evaluating future nurses' perspectives on artificial intelligence, determining their missing or incorrect information on the subject and determining their anxiety levels are of great importance in terms of providing science and technology-...
Using machine learning to unveil relevant predictors of adherence to recommended health-protective behaviors during the COVID-19 pandemic in Denmark.
Applied psychology. Health and well-being
Jun 8, 2024
What were relevant predictors of individuals' proclivity to adhere to recommended health-protective behaviors during the COVID-19 pandemic in Denmark? Applying machine learning (namely, lasso regression) to a repeated cross-sectional survey spanning ...
Knowledge, attitudes and practices of using Indocyanine Green (ICG) fluorescence in emergency surgery: an international web-based survey in the ARtificial Intelligence in Emergency and trauma Surgery (ARIES)-WSES project.
Updates in surgery
May 27, 2024
Fluorescence imaging is a real-time intraoperative navigation modality to enhance surgical vision and it can guide emergency surgeons while performing difficult, high-risk surgical procedures. The aim of this study is to assess current knowledge, att...
Digital proficiency: assessing knowledge, attitudes, and skills in digital transformation, health literacy, and artificial intelligence among university nursing students.
BMC medical education
May 7, 2024
BACKGROUND: Implementing digital transformation and artificial intelligence (AI) in education and practice necessitates understanding nursing students' attitudes and behaviors as end-users toward current and future digital and AI applications.
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