The integration of artificial intelligence (AI) in medical image interpretation requires effective
collaboration between clinicians and AI algorithms. Although previous studies demonstrated …

Generative artificial intelligence (AI) has the potential to both exacerbate and ameliorate
existing socioeconomic inequalities. In this article, we provide a state-of-the-art …

Artificial intelligence recommendations are sometimes erroneous and biased. In our
research, we hypothesized that people who perform a (simulated) medical diagnostic task …

The utilization of artificial intelligence (AI) in clinical practice has increased and is evidently
contributing to improved diagnostic accuracy, optimized treatment planning, and improved …

ABSTRACT While Artificial Intelligence (AI) algorithms have achieved performance levels
comparable to human experts on various predictive tasks, human experts can still access …

Artificial intelligence (AI) has the potential to assist in endoscopy and improve decision
making, particularly in situations where humans may make inconsistent judgments. The …

This paper discusses the “Get Real Get Better”(GRGB) approach to implementing agile
program management in the US Navy, supported by advanced data analytics and artificial …

In this article, we propose a conceptual and methodological framework for measuring the
impact of the introduction of AI systems in decision settings, based on the concept of …

Despite the widespread availability of artificial intelligence (AI) products and services,
consumer evaluations and adoption intentions have not met expectations. Existing research …

The emergence of black-box, subsymbolic, and statistical AI systems has motivated a rapid
increase in the interest regarding explainable AI (XAI), which encompasses both inherently …