Diagnostic Performance of General Practitioners in Carotid Plaque Detection Using AI-Enhanced Point-of-Care Ultrasound After Systematic Training - Report - MDSpire
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Evaluating the Diagnostic Accuracy of General Practitioners in Identifying Carotid Plaque with AI-Enhanced Point-of-Care Ultrasound Following Comprehensive Training
Clinical Report: Diagnostic Accuracy of GPs in Carotid Plaque Detection
Overview
This study evaluates the diagnostic performance of general practitioners (GPs) in detecting carotid plaque using AI-enhanced point-of-care ultrasound (POCUS) after systematic training. The results indicate high sensitivity and specificity.
Background
Carotid plaque is a significant risk factor for atherosclerotic cardiovascular disease (ASCVD), making early detection crucial for timely intervention. While POCUS has been adopted in various countries, its application by Chinese GPs remains underexplored.
Data Highlights
Metric
Value
95% CI
Sensitivity
0.87
0.80-0.95
Specificity
0.91
0.86-0.97
Positive Predictive Value
0.89
0.82-0.96
Negative Predictive Value
0.89
0.83-0.96
κ Statistic
0.78
0.69-0.88
Key Findings
Seven GPs underwent systematic training in AI-enhanced POCUS for carotid plaque detection.
The study included 169 patients with a mean age of 69.6 years.
At the per-patient level, sensitivity was 0.87 and specificity was 0.91.
Positive and negative predictive values were both 0.89.
The κ statistic indicated high agreement with the gold standard at 0.78.
Diagnostic performance at the per-vessel level was comparable to the per-patient level.
Clinical Implications
The findings indicate the potential for GPs to utilize AI-enhanced POCUS for carotid plaque screening.
Conclusion
The study demonstrates that GPs, after receiving systematic training, can accurately perform carotid plaque screening using AI-enhanced POCUS.