Purpose Due to the increasing demand for intensive care unit (ICU) treatment, and to
improve quality and efficiency of care, there is a need for adequate and efficient clinical …

Objective Although the role of artificial intelligence (AI) in medicine is increasingly studied,
most patients do not benefit because the majority of AI models remain in the testing and …

Artificial intelligence (AI) has been applied widely in our daily lives in a variety of ways with
numerous success stories. AI has also contributed to dealing with the coronavirus disease …

Recent advancements in the field of artificial intelligence have demonstrated success in a
variety of clinical tasks secondary to the development and application of big data …

: Background: the COVID-19 outbreak has created a great challenge for the healthcare
system worldwide. One of the most critical points of this challenge is the management of …

As of August 6th, 2021, the World Health Organization has notified 200.8 million laboratory-
confirmed infections and 4.26 million deaths from COVID-19, making it the worst pandemic …

Predicting medical waste (MW) properly is vital for an effective waste management system
(WMS), but it is difficult because of inadequate data and various factors that impact MW. This …

Abstract Machine learning can predict outcomes and determine variables contributing to
precise prediction, and can thus classify patients with different risk factors of outcomes. This …

Cardio Vascular Diseases (CVD) is the leading cause of death globally and is increasing at
an alarming rate, according to the American Heart Association's Heart Attack and Stroke …

Background Interest in critical care–related artificial intelligence (AI) research is growing
rapidly. However, the literature is still lacking in comprehensive bibliometric studies that …