Widespread implementation of electronic health records has led to the increased use of
artificial intelligence (AI) and computer modeling in clinical medicine. The early recognition …

With recent advances in electronic data availability, algorithms and computing power, the
potential of artificial intelligence (AI) in the care of the critically ill patients has increased …

Artificial intelligence (AI) research in the intensive care unit (ICU) mainly focuses on
developing models (from linear regression to deep learning) to predict outcomes, such as …

Research-based AI-driven systems to predict clinical deterioration are increasingly being
developed, but few are being implemented into clinical workflows. Escobar et al.(AAM) …

As early as 1979, authors evoked the promise of Artificial Intelligence (AI) to provide
diagnostic and therapeutic recommendations for patients in the intensive care unit (ICU)[1] …

The diffusion of electronic health records collecting large amount of clinical, monitoring, and
laboratory data produced by intensive care units (ICUs) is the natural terrain for the …

Artificial intelligence (AI) has great potential to improve the field of critical care and enhance
patient outcomes. This paper provides an overview of current and future applications of AI in …

Electronic medical records and physiologic monitors produce unprecedented amounts of
clinical data, which increasingly powerful computers may turn into novel insights through …

Background Prognosticating the course of diseases to inform decision-making is a key
component of intensive care medicine. For several applications in medicine, new methods …

The modern father of artificial intelligence (AI), Professor Andrew Ng (Stanford University),
once described AI as the “new electricity.” Over the last few years, research and innovation …