Health IT Analytics March 9, 2023
Researchers found that the interpretation of 7.8 percent of all radiographs in a recent study could potentially be safely automated by artificial intelligence.
In a study published this week in Radiology, researchers sought to investigate the clinical impact of autonomous radiograph reporting using a commercially available artificial intelligence (AI) tool and determined that the interpretation of up to 7.8 percent of radiographs in the dataset could be safely automated.
To evaluate the tool’s clinical impact, the research team looked at the number of chest radiographs it autonomously reported, the sensitivity of its detection of abnormal chest radiographs, and its performance compared with that of clinical radiology reports.
The study cohort comprised 1,529 adult patients from four hospitals in Denmark. Consecutive...