Is artificial intelligence (AI) on track to usurp the electronic health record (EHR) as the most
disappointing application of technology within medicine? The medical literature is …

Artificial intelligence (AI) could be a great thing in medicine. It could make healthcare safer
and faster. It could make medicine more satisfying to practise and less unpleasant to …

Objective Although the role of artificial intelligence (AI) in medicine is increasingly studied,
most patients do not benefit because the majority of AI models remain in the testing and …

The development and application of artificial intelligence (AI) to radiology requires an
approach that encompasses a health system. The UK government and National Health …

Applications of machine learning on clinical data are now attaining levels of performance
that match or exceed human clinicians. 1–3 Fields involving image interpretation …

Artificial intelligence (AI) involves computational networks (neural networks) that simulate
human intelligence. The incorporation of AI in radiology will help in dealing with the tedious …

In the recent budget Jeremy Hunt, chancellor of the exchequer, announced£ 3.4 bn of
additional capital investment for the NHS, with emphasis on using this to improve technology …

As the role of artificial intelligence (AI) in clinical practice evolves, governance structures
oversee the implementation, maintenance, and monitoring of clinical AI algorithms to …

Artificial intelligence (AI)-based healthcare applications (apps) are rapidly evolving, and
radiology is a target specialty for their implementation. In this paper, we put the case for a …

Introduction Artificial intelligence (AI) has started to be increasingly adopted in medical
imaging and radiotherapy clinical practice, however research, education and partnerships …