… the establishment of the first departments of clinical AI. … Therefore, a chief mandate of
department of clinical AI would be … field of clinical AI, focus on its integration into clinical workflows …

… What is machine learning? Artificial intelligence and machine learning are generic terms …
has resulted in systems with varying degrees of clinical utility in the emergency department. …

… In emergency departments (EDs), a fast interpretation of clinical data to categorize the … ’s
clinical utility is increasing, no studies assess the influence of AI clinical decision support …

… Advanced machine learning technology provides an opportunity to improve clinical …
recommendations in emergency department (ED) patients ultimately diagnosed with AF. …

… In this paper, we aim to present a scoping review of CDSS designed with intelligent techniques
for ED triage. We assess how these systems have been assisting clinical decisions that …

… Objective: Clinical trials contribute to the development of clinical practice. However, little is
… of trials on artificial intelligence (AI) conducted in emergency department and intensive care …

… This analysis is written with the dual aim of helping clinical … by highlighting some of the
clinical safety questions that must be … framework for considering clinical artificial intelligence (AI) …

… of patients at the emergency department is critical to inform … model that learns from routine
clinical variables. Our AI prognosis … In order to verify performance in a real clinical setting, we …

… medical imaging AI on clinical decisionmaking in the emergency department setting. Urgent
… impact on clinical decision making during the predicted surge period of a global pandemic. …

… to clinical evaluation of artificial intelligence tools for use in medical diagnosis and prediction,
mainly from the standpoints of clinical … for developing artificial intelligence algorithms for …