AI Outperforms Human Readers at Coronary CTA Analysis

Medscape January 22, 2025
Edited by Archita Rai

TOPLINE:

An artificial intelligence (AI)-based assessment of coronary CT angiography outperformed visual assessment by human readers and demonstrated superior agreement with a quantitative coronary angiography reference standard for detecting stenosis in patients with coronary artery disease.

METHODOLOGY:

• Researchers performed a post hoc analysis of the PACIFIC-1 study, conducted between January 2012 and October 2014 in the Netherlands, to compare the accuracies of visual and AI-based assessments of coronary CT angiography.
• They included 208 patients (mean age, 58 years; 37% women; median total plaque volume, 218 mm³) with stable new-onset chest pain and suspected coronary artery disease who underwent coronary CT angiography.
• The visual assessment of the angiography was performed by a level 3 reader (a radiologist with >...

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