Recent advances in deep learning and neural networks have shown some success in predictions for health outcomes, but CMS says many barriers remain to implement these tools at scale.

As healthcare organizations rush to take on AI, says one stakeholder, it’s important for executives to develop AI strategies that will help them build a sustainable competitive advantage.

Policymakers working in partnership with universities and commercial partners, says one stakeholder, are what’s needed to deliver the AI-using doctors and healthcare professionals of the future.

Currently, physicians are burned out and patient experience is suboptimal, says one longtime stakeholder, but artificial intelligence holds the potential to help fix all of that.

As the rapid advancement of AI technologies changes how healthcare is delivered, providers may be able to focus on the reason they went into medicine in the first place: their patients.

Can what AI might provide mental health therapists in terms of efficiency offset the loss of the human touch?

Financial experts are increasingly convinced that successful implementation of AI in healthcare could boost productivity, lower treatment costs and drive growth across the entire healthcare value chain.

According to a new report, It is becoming increasingly clear that AI will transform the diagnostic imaging industry, both in terms of enhanced productivity, increased diagnostic accuracy and ultimately, improved clinical outcomes.

Training a doctor takes years of grueling work in universities and hospitals. Building a doctor may be as easy as teaching an AI how to read.