Diagnostic Performance of General Practitioners in Carotid Plaque Detection Using AI-Enhanced Point-of-Care Ultrasound After Systematic Training - Scorecard - 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

  • By

  • Xiaochuan Liu

  • Sichen Yao

  • Hua Yang

  • Zhigang Pan

  • May 1, 2026

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Clinical Scorecard: Evaluating the Diagnostic Accuracy of General Practitioners in Identifying Carotid Plaque with AI-Enhanced Point-of-Care Ultrasound Following Comprehensive Training

At a Glance

CategoryDetail
ConditionCarotid Plaque Detection
Key MechanismsAI-enhanced Point-of-Care Ultrasound (POCUS)
Target PopulationHigh atherosclerotic cardiovascular disease risk patients
Care SettingOutpatient community health centers

Key Highlights

  • 7 GPs trained in AI-enhanced POCUS for carotid plaque screening
  • 169 patients evaluated with a mean age of 69.6 years
  • High sensitivity (0.87) and specificity (0.91) for plaque detection
  • Positive predictive value (PPV) and negative predictive value (NPV) both at 0.89
  • High inter-rater agreement (κ = 0.78) with gold standard

Guideline-Based Recommendations

Diagnosis

  • Use AI-enhanced POCUS for carotid plaque detection in high-risk patients

Management

  • Implement systematic training for GPs in POCUS techniques

Monitoring & Follow-up

  • Regular assessment of diagnostic performance metrics

Risks

  • Consider potential misdiagnoses in carotid plaque detection

Patient & Prescribing Data

Elderly patients with high cardiovascular disease risk

Early detection of carotid plaque can lead to timely management of atherosclerotic cardiovascular disease

Clinical Best Practices

  • Adhere to standardized screening protocols for carotid plaque evaluation
  • Utilize a multi-faceted training approach combining theoretical and practical sessions
  • Ensure quality control through blinded evaluations by experienced ultrasonologists

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