One of the most promising areas of health innovation is the application of artificial intelligence
(AI), primarily in medical imaging. This article provides basic definitions of terms such as “…

… The advent of deep neural networks as a new artificial intelligence (AI) … clinical practice
through rigorous validation (10). Various guidelines for reporting evaluation of machine learning …

… and knowledge is central to understanding artificial intelligence and its implications in …
Clinical decision making support systems like Watson are still in a relatively early stage of clinical …

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

… deployment of artificial intelligence (AI) in health‑care settings, ethics for AI usage in clinical
pharmacology are critical. AI has the ability to significantly alter clinical pharmacology by …

… 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 …

… 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 …

… 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. …

… ; thus, the number of actual clinical treatment implementations using AI is still limited.12…
has been expanded widely to most medical departments that use images for fields such as …