… the studies involving artificial intelligence in health care. This article aims to empower clinicians
and researchers to critically appraise studies of clinical applications of machine learning, …

… the use of artificial intelligence and big data in medicine. … This perspective of critical thinking
on data must also be … specific courses about how artificial intelligence and algorithms work. …

… has led to the increased use of artificial intelligence (AI) and computer modeling in clinical
medicine. The early recognition and treatment of critical illness are central to good outcomes …

… , the potential of artificial intelligence (AI) in the care of the critically ill patients has increased…
to identify, phenotype, and predict critical deterioration. AI can also guide treatment plans, …

… Artificial intelligence (AI), machine learning (ML), and deep learning (DL) algorithms are at
the heart of automation. This review will discuss expert machines in the food industry, which …

… EMS system [27] 8ok This study discussed and critical analyzed the power quality and
quantity of power grid transmission network along with their supporting infrastructure. In addition …

… This paper aims to perform a critical review about the different clustering methodologies and
… Among the optimization techniques evaluated, one may find heuristics, artificial intelligence, …

… Currently, most critical care information is not expressed … Artificial Intelligence (AI) for
prognosticating the course of the disease to aid in informed decision-making. AI is the intelligence …

… artificial intelligence (AI) and machine learning (ML), … critical care infrastructure since the
first Early Warning Scores (EWS) system was implemented [3,4]. The use of AI and ML in critical …

… This paper aims to enlighten stakeholders about critical success factors (CSFs) in developing
intelligent autonomous systems (IASs) by integrating artificial intelligence (AI) with robotics. …