Artificial Intelligence-Assisted Emergency Department Vertical Patient Flow Optimization
Recent advances in artificial intelligence (AI) and machine learning (ML) enable targeted optimization of emergency department (ED) operations.
Recent advances in artificial intelligence (AI) and machine learning (ML) enable targeted optimization of emergency department (ED) operations.
This study evaluates the impact of text messaging interventions on voter registration updates in two scenarios: one involving unresponsive voters who provided phone numbers during registration, and an
We show that leadership skill with artificially intelligent (AI) agents predicts leadership skill with human groups.
We show that leadership skill with artificially intelligent (AI) agents predicts leadership skill with human groups.
Creating and sustaining safe, healthy urban environments requires active collaboration between residents and local governments.
Rapid advances in artificial intelligence (AI), including large language models (LLMs) with abilities that rival those of human experts on a wide array of tasks, are reshaping how people make importan
An enormous body of literature argues that recommendation algorithms drive political polarization by creating "filter bubbles" and "rabbit holes." Using four experiments with nearly 9,000 participants
It is widely believed that outsourcing cognitive work to AI boosts immediate productivity at the expense of long-term human capital development.
As political issues have increased in complexity, public opinion researchers increasingly ask respondents about sophisticated political topics that may require substantive knowledge and analytic skill
In recent years, democracy movements have experienced a historic decline in their ability to challenge autocratic governments effectively.
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