Abstract Purpose of Review The purpose of this review is to summarize the current research
and critically examine artificial intelligence (AI) technologies and their applicability to the …

Artificial intelligence (AI) and machine learning (ML)-based applications are becoming
increasingly pervasive in the healthcare setting. This has in turn challenged clinicians …

Accurate early prediction of heart failure and identification of heart failure sub-phenotypes
can enable in-time interventions and treatments, assist with policy decisions, and lead to a …

Background Postoperative respiratory failure (PRF) is associated with increased hospital
charges and worse patient outcomes. Reliable prediction models can help to guide …

Background Anesthesiology plays a crucial role in perioperative care, critical care, and pain
management, impacting patient experiences and clinical outcomes. However, our …

Objective: To summarize state-of-the-art artificial intelligence–enabled decision support in
surgery and to quantify deficiencies in scientific rigor and reporting. Background: To …

Background Artificial intelligence (AI) has emerged as a tool to potentially increase the
efficiency and efficacy of cardiovascular care and improve clinical outcomes. This study aims …

Intraoperative hypotension is common and has been associated with adverse events,
including acute kidney failure, myocardial infarction, and stroke. Since blood pressure is a …

Objective Situational awareness and anticipatory guidance for nurses receiving a patient
after surgery are keys to patient safety. Little work has defined the role of artificial …

Anesthesiology has been at the forefront of patient safety efforts for decades, resulting in one
of the lowest percentages of adverse events out of any specialty. 1 The work of Cooper et al …