Background Healthcare providers have to make ethically complex clinical decisions which
may be a source of stress. Researchers have recently introduced Artificial Intelligence (AI) …

In this article, we explore the potential of enhancing academic prose and idea generation by
fine-tuning a large language model (here, GPT-3) on one's own previously published …

Objectives To determine to what extent current practice promotes the goals of individuals
who did not designate a surrogate while competent with respect to decision‐making during …

The rapid advancement of artificial intelligence (AI) and machine learning are providing new
tools to clinicians. AI tools have the potential to process vast amounts of data in a short …

When making substituted judgments for incapacitated patients, surrogates often struggle to
guess what the patient would want if they had capacity. Surrogates may also agonize over …

Law is impersonal. The state generally does not tailor the contents of the law to people's
characteristics and traits. In this Article, we argue that in the era of Big Data, law should …

Artificial intelligence (AI) systems are quickly gaining ground in healthcare and clinical
decision-making. However, it is still unclear in what way AI can or should support decision …

Background Artificial intelligence (AI) has revolutionized various healthcare domains, where
AI algorithms sometimes even outperform human specialists. However, the field of clinical …

Purpose Although surrogate decision-making (SDM) is prevalent in intensive care units
(ICUs) and concerns with decision quality are well documented, little is known about how …

The patient preference predictor (PPP) is a proposed computer-based algorithm that would
predict the treatment preferences of decisionally incapacitated patients. Incorporation of a …