Business Intelligence

Before the true potential of new technologies like AI can be realized, the healthcare industry must first address health disparities and implicit bias many patients face, American Medical Association (AMA) President-Elect Patrice A. Harris, MD, said in a recent viewpoint article.

By 2030, a majority of experts believe humans will be better off because of AI and related technology systems, with many expressing optimism about the future of healthcare, according to a report by Pew Research Center.

The United States could fall behind in the AI revolution if the country does not adopt a national strategy, according to a report by the Center for Data Innovation.

Thirty teams are advancing in IBM Watson’s international AI competition, with healthcare startups making up more than half of the top 10 finalists.

One size does not fit all when it comes to adopting AI into radiologists' workflows. That’s the message Penn Medicine physician William W. Boonn, MD, encouraged radiologists, developers and vendors to remember while speaking during the annual RSNA meeting in Chicago.

Amazon Web Services (AWS) is continuing its push into the healthcare industry after unveiling its latest HIPAA eligible machine-learning service.

The market for AI healthcare IT applications is expected to cross $1.7 billion by the end of next year, according to a report by Forbes.

Healthcare executives and organizations are extremely confident AI will be the solution to several problems within the industry. They're so confident, in fact, organizations are expected to invest an average of $32.4 million each in AI over the next five years, according to a recent survey of healthcare executives.

In a head-to-head commentary piece recently published in The BMJ, three researchers argued if AI's impact could eventually cause physicians to become obsolete.

Artificial intelligence may help stop the “downward spiral in productivity” in the healthcare system that has been plagued by labor-intensive, inefficient administrative tasks, according to an article in the Harvard Business Review.

Before healthcare providers go all-in with machine learning, the technology needs to align with safety and ethical standards, according to a recent perspective published in PLOS Medicine.

The Duke University Pratt School of Engineering in Durham, North Carolina, has announced the launch of the Sherry and John Woo Center for Big Data and Precision Health. The center will support machine learning and data research projects and opportunities for Duke faculty and students globally.