Artificial Intelligent

Insurers are using artificial intelligence and machine learning to review medical records, optimize care for chronic conditions, identify risk.

The machine learning algorithm, which can anticipate how cells respond CRISPR-induced breaks, could help researchers repair gene mutations.

IT leaders should show the value of specific AI use cases, while also ensuring the C-suite understands the potentially slow or hard-to-define ROI.

The team used convolutional neural networks on its own chest X-rays as well as imaging from NIH and Indiana University and said they did not perform equally.

If you think the digitisation of nursing is just about nurses filling out scores on a mobile device, it’s time to think again because artificial intelligence (AI) could be about to revolutionise the way nurses do their jobs.

Five new AI centres will be created in London, Leeds, Oxford, Coventry and Glasgow.    

A Chinese company, working with researchers in Sichuan and Boston, says its algorithm – similar to that enabling self-driving vehicles – could be a second set of eyes for polyp detection.

AI, machine learning, cognitive computing, neural networks? Supervised, unsupervised, semi-supervised? Object recognition, natural language processing? What does it all mean?

Savvy hospitals like Boston Children’s and NHS facilities are working with chatbot startups to create new ways to interface with patients seeking care.

Artificial intelligence (AI) is increasingly permeating medical imaging, but its integration into clinical practice will depend on the capacity of AI technology to facilitate workflow. How far has radiology advanced on this path? Insights asked a leading expert to find out.