Artificial Intelligence

Dr. Chris DeRienzo, chief quality officer at Mission Health, says the industry is on the precipice of making fundamental improvement in population health with machine learning models.

Digital transformation is a top priority at most healthcare organizations today, but progress so far has been fragmented.

Neil Jordan, Worldwide Health Leader and Connector at Microsoft, discusses the best use of AI in healthcare, as well as issues involved with its implementation, including ethics and regulations.

Artificial intelligence (AI), neural networks and machine learning can be ethereal concepts to the average punter, but when applied to the health sector their benefits come into sharp focus.

Organizations aim to advance the radiology community’s use of existing and emerging technologies.

As health systems merge, the need to reconcile data sets from disparate EHR systems for population health and quality improvement is critical, and artificial intelligence can help, the company says.

A new study from vendor Vectra monitored network traffic for six months to find the most prevalent methods attackers use to gain control and access protected information.

Jörg Aumüller, head of digitalizing healthcare marketing at Siemens Healthineers, says putting AI to use in the clinical setting requires curated data, supercomputing infrastructure and the ability to model algorithms on neural networks.

Companies say the Diabits Prediction Engine will help chronic care patients and care providers manage their health.

The VEVA tool has helped improve caregiver productivity and efficiency – and providers appreciate that it reduces the number of clicks per query.