Business Intelligence

The use of AI continues to rise throughout the United States, according to a new industry report published by RELX. The report included feedback from more than 1,000 senior-level executives representing seven industries: healthcare, science/medical, government, insurance, legal, banking and agriculture.

MaxQ AI has announced that its AI-based intracranial hemorrhage (ICH) and stroke software will soon be integrated into Philips CT scanners.

VIDA Diagnostics, a Coralville, Iowa-based medical imaging company, has announced a new distribution deal with TeraRecon.

As more businesses begin to implement state-of-the-art technologies, one industry expert is predicting AI will boost the global economy by $14 trillion by the year 2035.

The continued evolution of AI will lead to more job opportunities in the healthcare industry, according to new survey of high-ranking executives. Investments in AI and the implementation of AI-focused strategies are both also on the rise.  

Some 46% of Americans are open to the idea of their physicians using AI to help make diagnoses.

Physicians who reject an AI-based recommendation of established care guidelines in order to provide more personalized medicine are at heightened risk of being sued for malpractice should the patient be harmed.

If the present time represents the advent of the AI Age, it also marks a golden age for biology. And the two will soon hungrily feed off one another, driving the next big thing in supercomputing.

Northwell Health, a New York-based nonprofit health system, is building its own electronic health records system and leveraging AI to do it, Axios reported.

In a move closely partnering big pharma with big tech, Novartis and Microsoft have jointly announced a strategic alliance.

Leaders of HR departments are looking to AI for help improving the employee experience. As part of the effort, some 59% are considering or already adding virtual employee assistants like chatbots.

If the researchers behind a new report on AI in healthcare are right, the technology could cut nonclinical workers’ workload by 40% while also slashing clinical tasks by 33%.