As a source of patient information, human-authored SIRweb.org beats ChatGPT on readability and, in a word, helpfulness. However, the website needs work on those scores too.

Artificial intelligence tools have proven to be beneficial in detecting pulmonary nodules on chest CTs of adults, but less is known about their utility in pediatric populations. 

Radiology reports are typically written in language well above the average American adult’s eighth grade reading level, making them a source of confusion for patients.

The lead-up to radiation therapy can be anxiety-inducing and painful, but experts are optimistic a new relaxation method that is equal parts ancient and futuristic could help to ease patients’ worries. 

The tool uses a machine learning technique to identify changes on brain MRIs that would otherwise be overlooked by radiologists due to the subtlety of alterations. 

Trauma patients who present with poor blood flow and suspected abdominal hemorrhage are well served by emergency physicians using AI-augmented FAST imaging.

Surveying the landscape of interpretive AI in radiology, two researchers note a yawning gap between great expectations set in the recent past and actual clinical implementations as of spring 2023.

Standalone AI can significantly outperform radiologists' sensitivity in reading digital mammograms and has shown potential in DBT exams as well, but experts are not yet ready to hand over the reins.