… Artificial Intelligence (AI) in predicting and mitigating ED overcrowding. By leveraging advanced
machine learning … Evaluation of radiology reports by the emergency department clinical …

… More recently, there has been a growing recognition that interventions involving artificial
intelligence (… Trials-Artificial Intelligence) extension is a new reporting guideline for clinical trials …

… Application areas of Artificial Intelligence is having a huge … The areas employing the
technology of Artificial Intelligence … the current use of Artificial Intelligence technologies in the PSS …

… Reinforced learning algorithms can be used by HP departments to optimize dosing schedules,
particularly in patients exhibiting continuous changes in their clinical status. In these cases…

… early in emergency department (ED) triage is key to timely artificial intelligence-assisted
analysis. We used machine learning to develop and validate a clinical decision support tool to …

… on artificial intelligence and machine learning in the field of orthodontics. The areas that the
artificial intelligence is … Despite its shortcomings, artificial intelligence is considered to be a …

… wall motion abnormality, including theory and clinical importance. All 17 segments were …
to aid clinicians working in the emergency department to assess LVEF from the A4ch view. …

… used to accurately predict clinical deterioration resulting in … ML techniques to vastly improve
our clinical prediction ability. … to augment clinical decision-making in the inpatient setting. …

… Patients who attended two urban endocrinology departments (… , 2017 (equivalent of 13 clinic
days) were invited to participate … Herein, we describe novel data of the clinical adoption of a …

Introduction: Emergency department (ED) crowding is a major problem across Canada. We
studied the ability of artificial intelligence methods to improve patient flow through the ED by …