Artificial Intelligence

The two companies will offer radiologists access to various tools – for risk stratification, improved report structure, faster turnaround times – to help clinicans make better decisions about the next steps in the care process.

Provider organizations must figure out ways to sift through mountains of data to let AI tools have at it. And AI experts have plenty of suggestions.  

Emerging technologies will start to gain some firmer footing in the year ahead, moving out of pilot testing and into production environments.

The ability to sequence the human genome to predict chronic diseases is the Star Wars part but the infrastructure to support personalized care is still in the Flintstones age.

There’s no shortage of industry buzz surrounding robotics, artificial intelligence, machine learning and other next-generation technologies. While some of these are still coming into their own where healthcare is concerned, others are well proven to help automate and streamline processes that traditionally have required manual intervention.

M*Modal’s Gilan El Saadawi is working on an AI-driven virtual assistant to better capture clinical documentation.

Helping customers glean more insights from radiological images can also advance precision medicine and population health efforts, the company said.

Launchpad Studio’s first class includes startups working to automate scribing with Google Glass, apply machine learning to help people who can no longer walk, pinpoint sepsis earlier and build a platform for wearables.

The COPD Foundation, Geisinger, GSK and Jvion join force avoid hospitalizations and prevent inpatient readmissions for patients with these chronic conditions.

The long-time Google CEO and tech industry veteran will share insights about machine learning and moonshots at the annual conference in March.