A commercial artificial intelligence system correctly identified nearly 88% of screen-detected cancers and 45% of interval cancers, according to a major study published in Radiology. 

Pennsylvania imaging experts offered several key lessons learned, including the need to engage rads and continuously monitor data accuracy. 

The Society for Pediatric Radiology and ACR want lawmakers to draft healthcare policies that encourage innovation in artificial intelligence to address this gap. 

Financial terms were not disclosed, but the two said the funds will fuel future expansion of its AI-based products, used for reading, reporting and processing images.

Machine learning could streamline care for 22% of visits while making results available earlier by 165 minutes per affected patient, experts wrote in JAMA. 

A new prospective study from the University of Iowa compared expiratory chest CT from post-COVID patients and a healthy control group, unearthing stark differences.

Lack of trust in algorithms, challenges in data collection, and regulatory barriers are all impeding progress, the Washington-based research outfit argued. 

Company officials said recently that they hope to close the mega merger deal by the end of March.