New research analyzes the effectiveness of AI-generated reports in simplifying radiologists’ imaging interpretations into more easily understandable language, as judged by nonphysicians. 

"The potential for disseminating inaccurate information and the occurrence of 'hallucinations'—responses that are generated without grounding in factual data—are significant concerns,” authors of a new analysis warn.

It also increases cancer detection rates and reduces false positives, according to new work published in the journal Radiology. 

Researchers developed an advanced AI model capable of extracting measurements from unprocessed CT images in seconds. It then uses those data to evaluate the patient's mortality risk if they underwent TAVR.

Despite the opportunistic screening capabilities afforded by artificial intelligence applications, primary care providers are hesitant to embrace the technology.  

And the dose reduction can be achieved without sacrificing image quality, a new analysis shows.

Recent research suggests that, in many cases, radiologist performance only improves minimally with AI assistance.

Experts have identified numerous white matter features, in addition to changes in white matter tracts that occur over time, which they believe are more common among people with ADHD.