Abstract Machine vision describes the use of artificial intelligence to interpret, analyze, and
derive predictions from image or video data. Machine vision–based techniques are already …

Objectives Although the development of artificial intelligence (AI) technologies in medicine
has been significant, their application to paediatric anaesthesia is not well characterised. As …

GLOSSARY BRCA= BReast CAncer gene; ECG= electrocardiogram; EHR= electronic
health record; EMR= electronic medical record; GPS= Global Positioning System; HDT …

Aim: This study aimed to use machine learning algorithms to identify critical preoperative
variables and predict the red blood cell (RBC) transfusion during or after liver transplantation …

Background Accurate estimation of surgical transfusion risk is essential for efficient
allocation of blood bank resources and for other aspects of anesthetic planning. This study …

Technological innovation has been closely intertwined with the growth of modern
anesthesiology as a medical and scientific discipline. Anesthesia & Analgesia, the longest …

Blood transfusion is a routine medical procedure in hospitals with over 2 million blood
products transfused in the UK every year at a cost of over£ 300 million and a median …

Interest in the use of artificial intelligence (AI) and machine learning (ML) in medicine has
grown exponentially over the last few years. With its ability to enhance speed, precision, and …

: Anesthesia is the process of inducing and experiencing various conditions, such as
painlessness, immobility, and amnesia, to facilitate surgeries and other medical procedures …

Abstract Purpose Clinical prediction tools (CPTs) are decision-making instruments utilizing
patient data to predict specific clinical outcomes, risk-stratify patients, or suggest …