Image quality is not an issue for AI model that detects pulmonary embolisms on CT
Artificial intelligence models are effective at triaging computed tomography pulmonary angiography (CTPA) scans for pulmonary embolisms (PE), regardless of image quality.
In a study published in Clinical Imaging, a commercially available AI model achieved high sensitivity and specificity for PE detection, even when the diagnostic quality of the CT scans was not perfect, according to the interpreting radiologist.
“CTPA can be suboptimal for PE evaluation due to suboptimal contrast opacification and/or artifacts related to motion, large body habitus, and major orthopedic hardware,”…
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