In the field of anaesthesia, artificial intelligence (AI) has become a game-changing
technology. Applications of AI include keeping records, monitoring patients, calculating and …

Artificial intelligence (AI) is rapidly emerging in healthcare, yet applications in surgery
remain relatively nascent. Here we review the integration of AI in the field of surgery …

Background Risk stratification helps guide appropriate clinical care. Our goal was to develop
and validate a broad suite of predictive tools based on International Classification of …

Preoperative risk assessment is essential for shared decision-making and adequate
perioperative care. Common scores provide limited predictive quality and lack personalized …

Background Machine-learning models are susceptible to external influences which can
result in performance deterioration. The aim of our study was to elucidate the impact of a …

Background Artificial intelligence (AI) and machine learning are transforming the
optimization of clinical and patient workflows in healthcare. There is a need for research to …

This narrative review explores the utilization of machine learning (ML) and artificial
intelligence (AI) models to enhance perioperative cancer care. ML and AI models offer …

Artificial intelligence is a field within computer science that aims to allow computers and
algorithms to perform cognitive tasks similar to humans by learning and recognising patterns …

Background: Accurate estimation of perioperative blood transfusion risk in lumbar posterior
interbody fusion is essential to reduce the number, cost, and complications associated with …

The Directed Acyclic Graph (DAG) is a graph representing causal pathways for informing the
conduct of an observational study. The use of DAGs allows transparent communication of a …