As healthcare organizations struggle with the combined pressures of rising costs, thinning margins and staffing shortages, they’re increasingly turning to solutions that increase efficiency and protect revenue.

Part of the idea, says the center, is to create an open and global repository that will enable researchers to explore important clinical use cases, as well as other expanded research opportunities.

The new project aims to develop new ways for machine learning systems to help humans in the process of designing experiments and interpreting what the results mean.

Using AI, Texas-based KindHealth is able to offer an array of options that includes more than 250 insurance companies and healthcare.gov policies.

While fraud, waste and abuse scams have long been a part of the healthcare billing landscape, healthcare organizations are recognizing AI’s ability to see the red flags and stop it.

Big Pharma has some obvious advantages, but drug startups are wasting no time tapping AI to streamline drug R&D processes, thus shortening turnaround time across the value chain.

While scheduling manually has obviously been the rule for years, AI is beginning to help healthcare organizations iron out the usual bottlenecks, thus taking pressure off medical staff.

According to the researchers, the new technology provides key advantages over traditional sensors, including high conductivity, flexibility and stretchability, and it could provide a higher level of intelligence for artificial hands.

Offering personalized answers for new patients, the new app seeks to empower cancer patients and their families with information to steer their cancer journey.