In medicine, artificial intelligence (AI) research is becoming increasingly focused on
applying machine learning (ML) techniques to complex problems, and so allowing …

Artificial intelligence (AI) has enormous potential to improve the safety of healthcare, from
increasing diagnostic accuracy, 1 to optimising treatment planning, 2 to forecasting …

On a clear January morning in Florida, a Tesla enthusiast and network entrepreneur was
driving his new Tesla Model S on US Highway 27A, returning from a family trip. He had …

Controlling the costs of healthcare, which now exceed US $2.7 trillion, is an economic
imperative. 1–3 Costs of diagnostic testing probably account for more than 10% of all …

There is a growing awareness that artificial intelligence (AI) has been used in the analysis of
complicated and big data to provide outputs without human input in various health care …

Evidence is emerging that certain technologies such as computerized provider order entry
may reduce the likelihood of patient harm. However, many technologies that should reduce …

Artificial intelligence (AI) represents a valuable tool that could be used to improve the safety
of care. Major adverse events in healthcare include: healthcare-associated infections …

INTRODUCTION Machine learning for healthcare (MLHC) is at the juncture of leaping from
the pages of journals and conference proceedings to clinical implementation at the bedside …

Machine learning, artificial intelligence, and other modern statistical methods are providing
new opportunities to operationalise previously untapped and rapidly growing sources of …

Safety in the clinical environment is based on structures that reduce the probability of harm,
on evidence that enhances the likelihood of actions that increase favourable outcomes, and …