Objective:
To evaluate the effectiveness of artificial intelligence (AI) guidance in cardiac point-of-care ultrasound performed by advanced practice providers.
Approach:
- Study Design: A prospective observational study involving 100 examinations performed by advanced practice providers, with 64 using AI guidance and 36 without.
- Evaluation Method: Advanced practice provider interpretations were compared with blinded cardiologist overreads to assess agreement and clinical management decisions.
Key Findings:
- Cardiologists agreed with advanced practice provider interpretations on major findings in over 96% of examinations.
- AI-guided examinations had fewer corrections by cardiologists (27%) compared to non-AI-guided examinations (47%).
- AI guidance was associated with improved acquisition completeness and fewer missed or underestimated left ventricular and valvular abnormalities.
- Scan duration was shorter with AI guidance (13.7 minutes) compared to without (16.9 minutes).
- Point-of-care ultrasound findings led to management changes in 57% of patients.
Interpretation:
AI-guided cardiac point-of-care ultrasound performed by advanced practice providers demonstrated high diagnostic agreement with cardiologist reviews and supported clinical management decisions.
Limitations:
- The study did not provide disclosure information.
Conclusion:
AI-guided examinations supported clinical management and discharge decisions without the need for inpatient transthoracic echocardiography in over half of patients.
Sources:
This content is an AI-generated, fully rewritten summary based on a published scholarly article. It does not reproduce the original text and is not a substitute for the original publication. Readers are encouraged to consult the source for full context, data, and methodology.
