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.

Judging the software’s utility in rural settings with less experienced readers is important for expanding access to and improving care for patients, authors of a new AJR paper noted.

Its use dropped the average time needed to examine a finding at all timepoints from 107 seconds to 65 seconds, with pulmonary nodule assessments benefiting from the greatest reductions.

Philips has developed an AI-powered CT system designed to increase throughput and improve image quality, all while decreasing patient exposure to ionizing radiation. 

While the AI chatbot’s scores do reflect its impressive strengths, its weaknesses could present a unique opportunity for educators.