Abstract Machine learning (ML) has the potential to transform patient care and outcomes.
However, there are important differences between measuring the performance of ML models …

Background Artificial intelligence (AI) and machine learning (ML) models continue to evolve
the clinical decision support systems (CDSS). However, challenges arise when it comes to …

Aim Artificial intelligence (AI) and machine learning (ML) are important areas of computer
science that have recently attracted attention for their application to medicine. However, as …

The influence of AI recommendations on physician behaviour remains poorly characterised.
We assess how clinicians' decisions may be influenced by additional information more …

A ventilator is a device that mechanically assists in pumping air into the lungs, which is a life-
saving supportive therapy in an intensive care unit (ICU). In clinical scenarios, each patient …

Artificial Intelligence and machine-learning (ML) studies are increasingly populating the life
science space and some have also started to integrate certain clinical decision support …

Mechanical ventilation is a key form of life support for patients with pulmonary impairment.
Healthcare workers are required to continuously adjust ventilator settings for each patient, a …

Sepsis remains a major challenge internationally for healthcare systems. Its incidence is
rising due to poor public awareness and delays in its recognition and subsequent …

With recent advances in electronic data availability, algorithms and computing power, the
potential of artificial intelligence (AI) in the care of the critically ill patients has increased …

Providing timely intervention to critically ill patients is a challenging task in emergency
departments (ED). Our study aimed to predict early critical interventions (CrIs), which can be …