AIMC Topic: United States
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What drives the effectiveness of social distancing in combating COVID-19 across U.S. states?
PloS one
Jan 1, 2025
We propose a new theory of information-based voluntary social distancing in which people's responses to disease prevalence depend on the credibility of reported cases and fatalities and vary locally. We embed this theory into a new pandemic predictio...
Identifying high-dose opioid prescription risks using machine learning: A focus on sociodemographic characteristics.
Journal of opioid management
Jan 1, 2025
OBJECTIVE: The objective of this study was to leverage machine learning techniques to analyze administrative claims and socioeconomic data, with the aim of identifying and interpreting the risk factors associated with high-dose opioid prescribing.
A Machine Learning Algorithm to Predict Medical Device Recall by the Food and Drug Administration.
The western journal of emergency medicine
Jan 1, 2025
INTRODUCTION: Medical device recalls are important to the practice of emergency medicine, as unsafe devices include many ubiquitous items in emergency care, such as vascular access devices, ventilators, infusion pumps, video laryngoscopes, pulse oxim...
Current Use And Evaluation Of Artificial Intelligence And Predictive Models In US Hospitals.
Health affairs (Project Hope)
Jan 1, 2025
Effective evaluation and governance of predictive models used in health care, particularly those driven by artificial intelligence (AI) and machine learning, are needed to ensure that models are fair, appropriate, valid, effective, and safe, or FAVES...
World-making for a future with sentient AI.
The British journal of social psychology
Jan 1, 2025
The ways people imagine possible futures with artificial intelligence (AI) affects future world-making-how the future is produced through cultural propagation, design, engineering, policy, and social interaction-yet there has been little empirical st...
Nostalgia encourages exploration and fosters uncertainty in response to AI technology.
The British journal of social psychology
Jan 1, 2025
The burgeoning progress of cutting-edge technology paradoxically evokes nostalgia. How does this emotion influence responses to innovative technology, such as Artificial Intelligence (AI)? We hypothesized that two pathways operate concurrently. First...
Investigating the Differential Impact of Psychosocial Factors by Patient Characteristics and Demographics on Veteran Suicide Risk Through Machine Learning Extraction of Cross-Modal Interactions.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
Jan 1, 2025
Accurate prediction of suicide risk is crucial for identifying patients with elevated risk burden, helping ensure these patients receive targeted care. The US Department of Veteran Affairs' suicide prediction model primarily leverages structured elec...
Implications of An Evolving Regulatory Landscape on the Development of AI and ML in Medicine.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
Jan 1, 2025
The rapid advancement of artificial intelligence and machine learning (AI/ML) technologies in healthcare presents significant opportunities for enhancing patient care through innovative diagnostic tools, monitoring systems, and personalized treatment...
Comparison of six natural language processing approaches to assessing firearm access in Veterans Health Administration electronic health records.
Journal of the American Medical Informatics Association : JAMIA
Jan 1, 2025
OBJECTIVE: Access to firearms is associated with increased suicide risk. Our aim was to develop a natural language processing approach to characterizing firearm access in clinical records.
A machine learning framework to adjust for learning effects in medical device safety evaluation.
Journal of the American Medical Informatics Association : JAMIA
Jan 1, 2025
OBJECTIVES: Traditional methods for medical device post-market surveillance often fail to accurately account for operator learning effects, leading to biased assessments of device safety. These methods struggle with non-linearity, complex learning cu...
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