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Patient safety / Risk Management

Latest AI and machine learning research in patient safety / risk management for healthcare professionals.

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Showing 778-798 of 7,289 articles
Patterns of Suicidal Stress Disclosure on Social Media: Integrating Computational and Qualitative Approaches

The lack of understanding of how individuals communicate suicidal stress hinders global suicide inte...

Does later chronotype cause poorer adolescent mental health? An Adolescent Brain Cognitive Development (ABCD) Study

This study investigated whether chronotype (biobehavioral preference for sleep and wake timing) acro...

Authors self-disclosed use of artificial intelligence in research submissions to 49 biomedical journals: A cross-sectional study

To analyze the frequency of self-disclosed use of AI in research manuscripts submitted to 49 biomedi...

Costing Methods for Artificial Intelligence: Systematic Review and Recommended Cost Inventory for in Health Technology Assessment

Economic evaluations of artificial intelligence (AI) in healthcare are expanding rapidly, yet underl...

Fragile X Syndrome in Brazil: Development and Validation of a Clinical Checklist for Population Screening

Fragile X Syndrome (FXS) is the most common inherited cause of intellectual disability and syndromic...

Accuracy of AI-assisted diagnostic tools for Schistosoma haematobium: A systematic review and meta-analysis

Urogenital schistosomiasis caused by Schistosoma haematobium remains endemic in sub-Saharan Africa. ...

Oxytocin Enhances Social-Emotional Reciprocity in Autism

We evaluated whether oxytocin improves social-emotional reciprocity in children and adolescents with...

Disability services in higher education: Statistical disparities and the potential role of AI in bridging institutional gaps.

Disparities in disability services between two-year and four-year higher education institutions pose...

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Self-Disclosure to AI: The Paradox of Trust and Vulnerability in Human-Machine Interactions

In this paper, we explore the paradox of trust and vulnerability in human-machine interactions, in...

GeFL: Model-Agnostic Federated Learning with Generative Models

Federated learning (FL) is a distributed training paradigm that enables collaborative learning acr...

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The 2020 United States Decennial Census Is More Private Than You (Might) Think

The U.S. Decennial Census serves as the foundation for many high-profile policy decision-making pr...

Inside Out or Not: Privacy Implications of Emotional Disclosure

Privacy is dynamic, sensitive, and contextual, much like our emotions. Previous studies have explo...

Properties of Effective Information Anonymity Regulations

A firm seeks to analyze a dataset and to release the results. The dataset contains information abo...

Privacy Checklist: Privacy Violation Detection Grounding on Contextual Integrity Theory

Privacy research has attracted wide attention as individuals worry that their private data can be ...

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