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Updated: Jan 13, 2026

Point-of-Care Lung Ultrasound in Adults: Image Acquisition
Published on: March 3, 2023
Diagnostic Accuracy of Artificial Intelligence in Detecting Pleural Effusion on Ultrasound Imaging: A Systematic
Teck Yon Lee1, Sophia Wong Ching Hwai2
1NHS Fife, Kirkcaldy, UK.
Abstract:
Artificial intelligence (AI) interpretation of ultrasound (US) images is promising, yet its accuracy in diagnosing pleural effusions remains unclear. We conducted a comprehensive database search which identified 84 studies, of which 6 met eligibility criteria. We included 2951 patients with 58 392 images and 12 069 ultrasound clips. Bivariate analysis revealed a pooled sensitivity of 0.92 (95% CI: 0.85-0.96, p < 0.05) and specificity of 0.96 (95% CI: 0.88-0.99, p < 0.05), with a high AUC of 0.98 under the sROC curve, although included studies had significant heterogeneity, I 2 > 99%. AI demonstrates high diagnostic accuracy in detecting pleural effusion on ultrasound.
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