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Also, a new centre for excellence in AI in healthcare will be set up by two public universities in India.

On the provider side, 58% of organizations polled are using AI for administrative tasks, such as medical coding, billing and scheduling, while 44% are deploying it for clinical decision support and imaging analysis.

Also: Three partners will combine advanced analytics, social risk assessments and actuarial validation to measure the impacts of SDOH interventions.

More tech companies, and the government, are needed to address rural healthcare cyberattacks, according to the new Microsoft rural hospital cybersecurity landscape report. 

As the White House-backed project seeks to drive the evolution of artificial intelligence computational processes, demand for GPU servers may push the development of lighter-weight machine learning models, says an ICD researcher.  

The aim of the collaboration is to harness the "leading-edge power of quantum computing to shape the future of healthcare and technology" and create "a robust ecosystem that will attract, educate and retain top talent."

Behavioral AI and a fully integrated toolset are critical elements for information protection.

It features speech-to-text and an AI that identifies high-risk findings from slide images.

The U.S. Department of Homeland Security sees three areas of concern as artificial intelligence is used across critical infrastructure sectors: attacks using AI, attacks targeting AI systems and design, and implementation failures.

Andy Sajous, a leader in digital transformation, explains. He discusses the trade-offs of building versus buying artificial intelligence tools and describes some crucial actions CIOs should take going into 2025.