Diagnostic Imaging March 12, 2025
In addition to a significant reduction of X-ray reading time, researchers found the use of multimodal generative AI assessment led to enhanced detection of pleural lesions and widened mediastinal silhouettes.
Multimodal generative artificial intelligence (AI) may facilitate significant efficiencies with radiology reports as well as enhanced sensitivity for an array of abnormalities on chest X-rays (CXRs).
In a retrospective study, recently published in Radiology, researchers compared the use of preliminary AI-generated reports (via AIRead, Soombit.ai) and unassisted interpretation for 758 CXRs by five reviewing radiologists.
Use of the AI-generated reports led to a 42 percent reduction in the average reading time for CXRs in comparison to unassisted evaluation by radiologists (19.8 seconds vs. 34.2 seconds), according to the study authors.
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